{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据探索\n",
    "任务简介： \n",
    "广告点击率（Click-Through Rate Prediction, CTR）是互联网计算广告中的关键环节，预估准确性直接影响公司广告收入。机器学习技术可在计算广告中大展身手，Avazu通过程序化广告技术进行效果营销。本项目我们对Avazu提供的Kaggle竞赛数据进行移动CTR预估，其Kaggle竞赛网页为：https://www.kaggle.com/c/avazu-ctr-prediction。 \n",
    "\n",
    "属性：\n",
    "id: ad identifier （ID）\n",
    "click: 0/1 for non-click/click (是否被点击 0否、1是)\n",
    "hour: format is YYMMDDHH, so 14091123 means 23:00 on Sept. 11, 2014 UTC.（时间）\n",
    "C1 -- anonymized categorical variable（类型变量）\n",
    "banner_pos （广告位置）\n",
    "site_id   （站点ID）\n",
    "site_domain (站点领域)\n",
    "site_category  （站点类别）\n",
    "app_id   （APP_ID）\n",
    "app_domain (APP_领域)\n",
    "app_category （APP_类别）\n",
    "device_id (设备ID)\n",
    "device_ip (设备IP)\n",
    "device_model （设备模型）\n",
    "device_type （设备类型）\n",
    "device_conn_type （设备连接类型）\n",
    "C14-C21 -- anonymized categorical variables （（类型变量））"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#导包\n",
    "import numpy as np #矩阵操作\n",
    "import pandas as pd # 读取数据 sql操作\n",
    "import matplotlib.pyplot as pl\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#读取数据\n",
    "train_df = pd.read_csv(\"./train.csv\",nrows=1000000) #因为数据量过大，所以只选择100W条数据，正式训练再全部"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000000, 24)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>click</th>\n",
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       "      <th>app_domain</th>\n",
       "      <th>...</th>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.000037e+19</td>\n",
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       "      <td>100084</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.000064e+19</td>\n",
       "      <td>0</td>\n",
       "      <td>14102100</td>\n",
       "      <td>1005</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.000068e+19</td>\n",
       "      <td>0</td>\n",
       "      <td>14102100</td>\n",
       "      <td>1005</td>\n",
       "      <td>1</td>\n",
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       "      <td>7801e8d9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>18993</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2161</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             id  click      hour    C1  banner_pos   site_id site_domain  \\\n",
       "0  1.000009e+18      0  14102100  1005           0  1fbe01fe    f3845767   \n",
       "1  1.000017e+19      0  14102100  1005           0  1fbe01fe    f3845767   \n",
       "2  1.000037e+19      0  14102100  1005           0  1fbe01fe    f3845767   \n",
       "3  1.000064e+19      0  14102100  1005           0  1fbe01fe    f3845767   \n",
       "4  1.000068e+19      0  14102100  1005           1  fe8cc448    9166c161   \n",
       "\n",
       "  site_category    app_id app_domain ...  device_type device_conn_type    C14  \\\n",
       "0      28905ebd  ecad2386   7801e8d9 ...            1                2  15706   \n",
       "1      28905ebd  ecad2386   7801e8d9 ...            1                0  15704   \n",
       "2      28905ebd  ecad2386   7801e8d9 ...            1                0  15704   \n",
       "3      28905ebd  ecad2386   7801e8d9 ...            1                0  15706   \n",
       "4      0569f928  ecad2386   7801e8d9 ...            1                0  18993   \n",
       "\n",
       "   C15  C16   C17  C18  C19     C20  C21  \n",
       "0  320   50  1722    0   35      -1   79  \n",
       "1  320   50  1722    0   35  100084   79  \n",
       "2  320   50  1722    0   35  100084   79  \n",
       "3  320   50  1722    0   35  100084   79  \n",
       "4  320   50  2161    0   35      -1  157  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.head(5) #读取前5条数据信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['id', 'click', 'hour', 'C1', 'banner_pos', 'site_id', 'site_domain',\n",
       "       'site_category', 'app_id', 'app_domain', 'app_category', 'device_id',\n",
       "       'device_ip', 'device_model', 'device_type', 'device_conn_type', 'C14',\n",
       "       'C15', 'C16', 'C17', 'C18', 'C19', 'C20', 'C21'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000000 entries, 0 to 999999\n",
      "Data columns (total 24 columns):\n",
      "id                  1000000 non-null float64\n",
      "click               1000000 non-null int64\n",
      "hour                1000000 non-null int64\n",
      "C1                  1000000 non-null int64\n",
      "banner_pos          1000000 non-null int64\n",
      "site_id             1000000 non-null object\n",
      "site_domain         1000000 non-null object\n",
      "site_category       1000000 non-null object\n",
      "app_id              1000000 non-null object\n",
      "app_domain          1000000 non-null object\n",
      "app_category        1000000 non-null object\n",
      "device_id           1000000 non-null object\n",
      "device_ip           1000000 non-null object\n",
      "device_model        1000000 non-null object\n",
      "device_type         1000000 non-null int64\n",
      "device_conn_type    1000000 non-null int64\n",
      "C14                 1000000 non-null int64\n",
      "C15                 1000000 non-null int64\n",
      "C16                 1000000 non-null int64\n",
      "C17                 1000000 non-null int64\n",
      "C18                 1000000 non-null int64\n",
      "C19                 1000000 non-null int64\n",
      "C20                 1000000 non-null int64\n",
      "C21                 1000000 non-null int64\n",
      "dtypes: float64(1), int64(14), object(9)\n",
      "memory usage: 183.1+ MB\n"
     ]
    }
   ],
   "source": [
    "train_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 查看基本信息，数据无空值无需进行数据填补 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000000, 23)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"读取下test 文件查看\"\"\"\n",
    "test_df = pd.read_csv(\"test\",nrows=1000000)\n",
    "test_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1.000191e+19</td>\n",
       "      <td>14103100</td>\n",
       "      <td>1005</td>\n",
       "      <td>0</td>\n",
       "      <td>1fbe01fe</td>\n",
       "      <td>f3845767</td>\n",
       "      <td>28905ebd</td>\n",
       "      <td>ecad2386</td>\n",
       "      <td>7801e8d9</td>\n",
       "      <td>07d7df22</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>22813</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2647</td>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "      <td>100148</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1.000198e+19</td>\n",
       "      <td>14103100</td>\n",
       "      <td>1005</td>\n",
       "      <td>0</td>\n",
       "      <td>85f751fd</td>\n",
       "      <td>c4e18dd6</td>\n",
       "      <td>50e219e0</td>\n",
       "      <td>388d9bfb</td>\n",
       "      <td>2347f47a</td>\n",
       "      <td>cef3e649</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>23214</td>\n",
       "      <td>300</td>\n",
       "      <td>250</td>\n",
       "      <td>2675</td>\n",
       "      <td>3</td>\n",
       "      <td>939</td>\n",
       "      <td>100058</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1.000200e+19</td>\n",
       "      <td>14103100</td>\n",
       "      <td>1005</td>\n",
       "      <td>0</td>\n",
       "      <td>543a539e</td>\n",
       "      <td>c7ca3108</td>\n",
       "      <td>3e814130</td>\n",
       "      <td>ecad2386</td>\n",
       "      <td>7801e8d9</td>\n",
       "      <td>07d7df22</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>23642</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2709</td>\n",
       "      <td>3</td>\n",
       "      <td>39</td>\n",
       "      <td>-1</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1.000211e+19</td>\n",
       "      <td>14103100</td>\n",
       "      <td>1005</td>\n",
       "      <td>0</td>\n",
       "      <td>1fbe01fe</td>\n",
       "      <td>f3845767</td>\n",
       "      <td>28905ebd</td>\n",
       "      <td>ecad2386</td>\n",
       "      <td>7801e8d9</td>\n",
       "      <td>07d7df22</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>15699</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             id      hour    C1  banner_pos   site_id site_domain  \\\n",
       "0  1.000017e+19  14103100  1005           0  235ba823    f6ebf28e   \n",
       "1  1.000018e+19  14103100  1005           0  1fbe01fe    f3845767   \n",
       "2  1.000055e+19  14103100  1005           0  1fbe01fe    f3845767   \n",
       "3  1.000109e+19  14103100  1005           0  85f751fd    c4e18dd6   \n",
       "4  1.000138e+19  14103100  1005           0  85f751fd    c4e18dd6   \n",
       "5  1.000152e+19  14103100  1005           1  57fe1b20    5b626596   \n",
       "6  1.000191e+19  14103100  1005           0  1fbe01fe    f3845767   \n",
       "7  1.000198e+19  14103100  1005           0  85f751fd    c4e18dd6   \n",
       "8  1.000200e+19  14103100  1005           0  543a539e    c7ca3108   \n",
       "9  1.000211e+19  14103100  1005           0  1fbe01fe    f3845767   \n",
       "\n",
       "  site_category    app_id app_domain app_category ...  device_type  \\\n",
       "0      f028772b  ecad2386   7801e8d9     07d7df22 ...            1   \n",
       "1      28905ebd  ecad2386   7801e8d9     07d7df22 ...            1   \n",
       "2      28905ebd  ecad2386   7801e8d9     07d7df22 ...            1   \n",
       "3      50e219e0  51cedd4e   aefc06bd     0f2161f8 ...            1   \n",
       "4      50e219e0  9c13b419   2347f47a     f95efa07 ...            1   \n",
       "5      f028772b  ecad2386   7801e8d9     07d7df22 ...            1   \n",
       "6      28905ebd  ecad2386   7801e8d9     07d7df22 ...            1   \n",
       "7      50e219e0  388d9bfb   2347f47a     cef3e649 ...            1   \n",
       "8      3e814130  ecad2386   7801e8d9     07d7df22 ...            1   \n",
       "9      28905ebd  ecad2386   7801e8d9     07d7df22 ...            1   \n",
       "\n",
       "  device_conn_type    C14  C15  C16   C17  C18  C19     C20  C21  \n",
       "0                0   8330  320   50   761    3  175  100075   23  \n",
       "1                0  22676  320   50  2616    0   35  100083   51  \n",
       "2                0  22676  320   50  2616    0   35  100083   51  \n",
       "3                0  18648  320   50  1092    3  809  100156   61  \n",
       "4                0  23160  320   50  2667    0   47      -1  221  \n",
       "5                0   6563  320   50   572    2   39      -1   32  \n",
       "6                0  22813  320   50  2647    2   39  100148   23  \n",
       "7                3  23214  300  250  2675    3  939  100058  100  \n",
       "8                0  23642  320   50  2709    3   39      -1   23  \n",
       "9                0  15699  320   50  1722    0   35      -1   79  \n",
       "\n",
       "[10 rows x 23 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000000 entries, 0 to 999999\n",
      "Data columns (total 23 columns):\n",
      "id                  1000000 non-null float64\n",
      "hour                1000000 non-null int64\n",
      "C1                  1000000 non-null int64\n",
      "banner_pos          1000000 non-null int64\n",
      "site_id             1000000 non-null object\n",
      "site_domain         1000000 non-null object\n",
      "site_category       1000000 non-null object\n",
      "app_id              1000000 non-null object\n",
      "app_domain          1000000 non-null object\n",
      "app_category        1000000 non-null object\n",
      "device_id           1000000 non-null object\n",
      "device_ip           1000000 non-null object\n",
      "device_model        1000000 non-null object\n",
      "device_type         1000000 non-null int64\n",
      "device_conn_type    1000000 non-null int64\n",
      "C14                 1000000 non-null int64\n",
      "C15                 1000000 non-null int64\n",
      "C16                 1000000 non-null int64\n",
      "C17                 1000000 non-null int64\n",
      "C18                 1000000 non-null int64\n",
      "C19                 1000000 non-null int64\n",
      "C20                 1000000 non-null int64\n",
      "C21                 1000000 non-null int64\n",
      "dtypes: float64(1), int64(13), object(9)\n",
      "memory usage: 175.5+ MB\n"
     ]
    }
   ],
   "source": [
    "test_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 数据字段与 train 文件一致，同样没有缺失值；因为数据量过大所以我们在这里同样的也是取100w的数据来进行处理"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据分析\n",
    "根据数据的属性来一个个分析\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'distribuition of hour')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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IS1LDDHFJapghLkkNM8QlqWGGuCQ1zBCXpIYZ4pLUMENckhpmiEtSwwxxSWqYIS5JDTPE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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1dd9bf28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查看时间分布，以及数量\n",
    "pl.scatter(range(train_df.shape[0]),train_df[\"hour\"].values)\n",
    "pl.title(\"distribuition of hour\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "时间分布\n",
      "14102104    264711\n",
      "14102102    207471\n",
      "14102103    193355\n",
      "14102101    137442\n",
      "14102100    119006\n",
      "14102105     78015\n",
      "Name: hour, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(\"时间分布\")\n",
    "print(train_df[\"hour\"].value_counts())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上述图和数据可以知道广告图在0-4点的时候出现的次数多些，说明这段时间的人数比较多"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "c1的值分布\n",
      "1005    935852\n",
      "1002     31219\n",
      "1010     18488\n",
      "1012     11916\n",
      "1008      1563\n",
      "1007       855\n",
      "1001       107\n",
      "Name: C1, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "#因为C1也属于类变量 想查看变量的类型和数量\n",
    "print(\"c1的值分布\")\n",
    "print(train_df[\"C1\"].value_counts())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上图可以知道C1的值大多集中在1005类型上 那这是否就代表着这种广告类型容易被用户所接受呢？ "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "site_id属性的不同取值和出现的次数\n",
      "85f751fd    332893\n",
      "1fbe01fe    232096\n",
      "d9750ee7     38603\n",
      "e151e245     32359\n",
      "5b08c53b     16455\n",
      "543a539e     16355\n",
      "5b4d2eda     16064\n",
      "856e6d3f     13231\n",
      "43d6df75      9924\n",
      "5ee41ff2      9011\n",
      "f282ab5a      7526\n",
      "6399eda6      7437\n",
      "17caea14      6249\n",
      "6256f5b4      6109\n",
      "0a742914      5894\n",
      "030440fe      5682\n",
      "bb4524e7      5094\n",
      "78d60190      4908\n",
      "84c7ba46      4832\n",
      "d6137915      4804\n",
      "c21df24f      4791\n",
      "5114c672      4791\n",
      "b7e9786d      4503\n",
      "57fe1b20      4383\n",
      "e8f79e60      4111\n",
      "83a0ad1a      3997\n",
      "9b971c93      3908\n",
      "fe8cc448      3784\n",
      "93eaba74      3733\n",
      "cd58172f      3704\n",
      "             ...  \n",
      "e3088707         1\n",
      "ca63a68d         1\n",
      "fded1086         1\n",
      "9853a212         1\n",
      "802ba066         1\n",
      "d77d8efd         1\n",
      "3f7c99d7         1\n",
      "af62ef47         1\n",
      "4110af2f         1\n",
      "08776f87         1\n",
      "3d623d34         1\n",
      "8ba29df2         1\n",
      "ac195635         1\n",
      "b352d9e2         1\n",
      "a7041082         1\n",
      "d7d3e3c5         1\n",
      "ed0b2078         1\n",
      "79269cff         1\n",
      "2bc0c8c5         1\n",
      "881897fe         1\n",
      "f41cb38d         1\n",
      "cbfa83aa         1\n",
      "46464be7         1\n",
      "6ee33876         1\n",
      "1a16cffa         1\n",
      "a6d1d156         1\n",
      "e211b8f9         1\n",
      "0c6adf5c         1\n",
      "be255eb1         1\n",
      "956284e6         1\n",
      "Name: site_id, Length: 2075, dtype: int64\n",
      "\n",
      "site_domain属性的不同取值和出现的次数\n",
      "c4e18dd6    348412\n",
      "f3845767    232096\n",
      "98572c79     41031\n",
      "7e091613     33718\n",
      "7687a86e     23775\n",
      "16a36ef3     17007\n",
      "c7ca3108     16355\n",
      "27e3c518     13991\n",
      "58a89a43     13231\n",
      "17d996e6      9083\n",
      "61eb5bc4      7540\n",
      "968765cd      7437\n",
      "0dde25ec      6249\n",
      "28f93029      6109\n",
      "510bd839      5894\n",
      "08ba7db9      5682\n",
      "d262cf1e      5139\n",
      "d733bbc3      5094\n",
      "1b32ed33      4922\n",
      "bb1ef334      4804\n",
      "3f2f3819      4791\n",
      "c1aa3c04      4732\n",
      "b12b9f85      4527\n",
      "9d54950b      4458\n",
      "5b626596      4384\n",
      "c4342784      4111\n",
      "5c9ae867      3997\n",
      "6b59f079      3958\n",
      "b9c4ab81      3785\n",
      "9166c161      3784\n",
      "             ...  \n",
      "1bf78186         1\n",
      "80a78aa9         1\n",
      "b550e2ba         1\n",
      "a1328278         1\n",
      "5bf26b3d         1\n",
      "e6f401eb         1\n",
      "5720ff82         1\n",
      "d502bd1a         1\n",
      "72f3d028         1\n",
      "a33f26cb         1\n",
      "10796335         1\n",
      "15a4e456         1\n",
      "7a79ce06         1\n",
      "7fb4f8b7         1\n",
      "8141be00         1\n",
      "df524732         1\n",
      "087af27e         1\n",
      "82cc7642         1\n",
      "eeb64c12         1\n",
      "61fa56ea         1\n",
      "f093c1e9         1\n",
      "ef69a0aa         1\n",
      "eecf39b4         1\n",
      "64dd1c99         1\n",
      "223b2b13         1\n",
      "c587522d         1\n",
      "9a6ec8b4         1\n",
      "9e135c11         1\n",
      "49d03a91         1\n",
      "9bf98a02         1\n",
      "Name: site_domain, Length: 2030, dtype: int64\n",
      "\n",
      "site_category属性的不同取值和出现的次数\n",
      "50e219e0    360056\n",
      "28905ebd    262519\n",
      "f028772b    260471\n",
      "3e814130     75062\n",
      "f66779e6      8842\n",
      "76b2941d      7880\n",
      "335d28a8      7251\n",
      "70fb0e29      4961\n",
      "0569f928      4505\n",
      "75fa27f6      3958\n",
      "72722551      2705\n",
      "c0dd3be3       552\n",
      "dedf689d       508\n",
      "a818d37a       374\n",
      "e787de0e       281\n",
      "bcf865d9        25\n",
      "8fd0aea4        22\n",
      "42a36e14        13\n",
      "5378d028        10\n",
      "9ccfa2ea         4\n",
      "110ab22d         1\n",
      "Name: site_category, dtype: int64\n",
      "\n",
      "app_id属性的不同取值和出现的次数\n",
      "ecad2386    667107\n",
      "e2fcccd2     32263\n",
      "febd1138     24725\n",
      "54c5d545     12027\n",
      "9c13b419     11481\n",
      "39947756      8542\n",
      "2d869bee      7860\n",
      "03528b27      7037\n",
      "5e3f096f      6991\n",
      "66f5e02e      6740\n",
      "3692fd30      6157\n",
      "51cedd4e      5623\n",
      "f0d41ff1      5468\n",
      "e2a1ca37      5226\n",
      "3c4b944d      5201\n",
      "0acbeaa3      5164\n",
      "396df801      5141\n",
      "ffc6ffd0      5003\n",
      "1779deee      4617\n",
      "680e6a92      4356\n",
      "cfbd8210      4228\n",
      "e96773f0      4215\n",
      "98fed791      3891\n",
      "45aff1a2      3768\n",
      "c8e3e3c1      3261\n",
      "f888bf4c      3260\n",
      "53de0284      2994\n",
      "73206397      2860\n",
      "6fc85e22      2578\n",
      "d33d55c4      2518\n",
      "             ...  \n",
      "6d79395a         1\n",
      "7e498237         1\n",
      "aadb7944         1\n",
      "9bc5f7f1         1\n",
      "c78fdf3e         1\n",
      "f19d96ae         1\n",
      "0455a7c6         1\n",
      "8da82105         1\n",
      "c3de22f9         1\n",
      "51ce557d         1\n",
      "ef60def4         1\n",
      "2d434dc6         1\n",
      "a1710ea5         1\n",
      "7bc14fd3         1\n",
      "06a70ccb         1\n",
      "854ececa         1\n",
      "e8ea8b01         1\n",
      "e82fca96         1\n",
      "f20ce448         1\n",
      "c0b46132         1\n",
      "ccb710ac         1\n",
      "c6545931         1\n",
      "abff3952         1\n",
      "70fb9dcb         1\n",
      "ef0a5512         1\n",
      "c21dd07c         1\n",
      "de157547         1\n",
      "249f2b9e         1\n",
      "a31c217d         1\n",
      "972bb43d         1\n",
      "Name: app_id, Length: 2309, dtype: int64\n",
      "\n",
      "app_domain属性的不同取值和出现的次数\n",
      "7801e8d9    707429\n",
      "2347f47a    140069\n",
      "d9b5648e     40779\n",
      "5c5a694b     32263\n",
      "82e27996     24726\n",
      "aefc06bd      7002\n",
      "6f7ca2ba      6740\n",
      "ae637522      5700\n",
      "45a51db4      5164\n",
      "33da2e74      4574\n",
      "5c620f04      3768\n",
      "b5f3b24a      3261\n",
      "5b9c592b      3260\n",
      "b8d325c3      2013\n",
      "df32afa9      1974\n",
      "885c7f3f      1742\n",
      "15ec7f39      1417\n",
      "0654b444      1381\n",
      "f2f777fb       956\n",
      "b9528b13       911\n",
      "c6824def       729\n",
      "813f3323       724\n",
      "9ec164d3       626\n",
      "ad63ec9b       539\n",
      "43cf4f06       224\n",
      "0e8616ad       161\n",
      "828da833       157\n",
      "f3ad7798       135\n",
      "b12ff13e       116\n",
      "47464e95       101\n",
      "             ...  \n",
      "916026d9         1\n",
      "c41aa5ee         1\n",
      "fd68cbd8         1\n",
      "b1ab9955         1\n",
      "1438d51f         1\n",
      "52d64e90         1\n",
      "e51135b7         1\n",
      "15fa2703         1\n",
      "366cee9d         1\n",
      "5daf29b2         1\n",
      "9299777a         1\n",
      "7a9371fa         1\n",
      "a5f9dc5b         1\n",
      "b6db2208         1\n",
      "002e4064         1\n",
      "bd8c1fdc         1\n",
      "4e007635         1\n",
      "44324ff4         1\n",
      "23e2c80e         1\n",
      "3c992420         1\n",
      "99b4c806         1\n",
      "f2140094         1\n",
      "c72257c6         1\n",
      "4ed652f4         1\n",
      "1cbecd39         1\n",
      "d3c75c8f         1\n",
      "d9f4700d         1\n",
      "9cc1123d         1\n",
      "ad65a8a2         1\n",
      "519a450d         1\n",
      "Name: app_domain, Length: 156, dtype: int64\n",
      "\n",
      "app_category属性的不同取值和出现的次数\n",
      "07d7df22    679869\n",
      "0f2161f8    225789\n",
      "8ded1f7a     29806\n",
      "f95efa07     28765\n",
      "cef3e649     25260\n",
      "d1327cf5      4302\n",
      "fc6fa53d      1436\n",
      "75d80bbe      1410\n",
      "09481d60      1108\n",
      "4ce2e9fc       943\n",
      "879c24eb       373\n",
      "dc97ec06       367\n",
      "a3c42688       214\n",
      "0f9a328c       147\n",
      "a86a3e89        57\n",
      "4681bb9d        54\n",
      "8df2e842        31\n",
      "2281a340        25\n",
      "0bfbc358        14\n",
      "7113d72a        13\n",
      "a7fd01ec        11\n",
      "79f0b860         4\n",
      "18b1e0be         2\n",
      "Name: app_category, dtype: int64\n",
      "\n",
      "device_id属性的不同取值和出现的次数\n",
      "a99f214a    840265\n",
      "c357dbff      1310\n",
      "936e92fb       482\n",
      "31da1bd0       292\n",
      "787d2bb0       274\n",
      "b09da1c4       267\n",
      "e8440dbf       246\n",
      "d857ffbb       214\n",
      "f0b5276b       195\n",
      "dcefb131       155\n",
      "f765372d       135\n",
      "7166f9fd       133\n",
      "79b5916c       130\n",
      "045d057f       121\n",
      "afeffc18       119\n",
      "c810e66f       118\n",
      "c07b6494       117\n",
      "332d28f2       116\n",
      "e09ded8f       115\n",
      "a167aa83       113\n",
      "8bd5456a       113\n",
      "3c19ea8f       110\n",
      "9d7b8b52       109\n",
      "09ecc3b0       108\n",
      "6e30eb86       106\n",
      "da3579c6       104\n",
      "0cc497c8       101\n",
      "5140d8aa       100\n",
      "104811b5        99\n",
      "0b68504c        98\n",
      "             ...  \n",
      "e7839589         1\n",
      "b0b4257b         1\n",
      "28c30d95         1\n",
      "39c89b7a         1\n",
      "8df84bfa         1\n",
      "c28d40be         1\n",
      "b16619ce         1\n",
      "f5139d64         1\n",
      "da1714a0         1\n",
      "af27fb40         1\n",
      "0107700b         1\n",
      "99462344         1\n",
      "500fb1bc         1\n",
      "07c24c42         1\n",
      "8f96b9ee         1\n",
      "97a36cd4         1\n",
      "8cb22ea9         1\n",
      "c6d9a86f         1\n",
      "0ccb9798         1\n",
      "a0c73eb7         1\n",
      "1400a69a         1\n",
      "bb009b4b         1\n",
      "fb86900c         1\n",
      "71381788         1\n",
      "9fce9b1a         1\n",
      "e77e6a19         1\n",
      "024a109d         1\n",
      "818bb9ff         1\n",
      "a0047b73         1\n",
      "8b56e23b         1\n",
      "Name: device_id, Length: 83431, dtype: int64\n",
      "\n",
      "device_ip属性的不同取值和出现的次数\n",
      "6b9769f2    5886\n",
      "431b3174    3208\n",
      "1cf29716    2386\n",
      "ddd2926e    2377\n",
      "ceffea69    2370\n",
      "75bb1b58    2346\n",
      "c6563308    2326\n",
      "a8536f3a    2324\n",
      "488a9a3e    2324\n",
      "57cd4006    2299\n",
      "0489ce3f    2292\n",
      "9b1fe278    2196\n",
      "8a014cbb    2191\n",
      "e9d5636f    1592\n",
      "07875ea4    1369\n",
      "bca8f26d    1194\n",
      "e54c1344    1191\n",
      "884297d2    1153\n",
      "ac77b71a    1125\n",
      "693bff3e    1111\n",
      "ff1c4f79    1100\n",
      "95b2935e    1081\n",
      "0c0635a2    1008\n",
      "57bce7c6     774\n",
      "59ac940d     750\n",
      "aa42be81     744\n",
      "54c664bf     713\n",
      "a6df415d     691\n",
      "6b3a5479     660\n",
      "a98e3a73     638\n",
      "            ... \n",
      "42ade467       1\n",
      "8229a84a       1\n",
      "cc3a8a8f       1\n",
      "0d4a43a6       1\n",
      "f9ff61e5       1\n",
      "577fb9f4       1\n",
      "4980fd0e       1\n",
      "46f2a255       1\n",
      "80599a8a       1\n",
      "948a219f       1\n",
      "c43b52e2       1\n",
      "4279b88e       1\n",
      "a79e33db       1\n",
      "60a93404       1\n",
      "994e9fa9       1\n",
      "6f227b73       1\n",
      "36e55604       1\n",
      "076abfae       1\n",
      "ac6f8828       1\n",
      "023dce2a       1\n",
      "473a8e64       1\n",
      "43d855f7       1\n",
      "6a6436b2       1\n",
      "13d492d8       1\n",
      "15f82409       1\n",
      "5d605530       1\n",
      "49d41476       1\n",
      "dd9f4553       1\n",
      "357e7efa       1\n",
      "55fbb3b2       1\n",
      "Name: device_ip, Length: 313002, dtype: int64\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "device_model属性的不同取值和出现的次数\n",
      "8a4875bd    59771\n",
      "d787e91b    42206\n",
      "1f0bc64f    37525\n",
      "4ea23a13    19853\n",
      "a0f5f879    17158\n",
      "76dc4769    16538\n",
      "711ee120    15399\n",
      "7abbbd5c    15144\n",
      "ecb851b2    14844\n",
      "c6263d8a    14186\n",
      "5096d134    13774\n",
      "aad45b01    13586\n",
      "99e427c9    12359\n",
      "3bd9e8e7    12178\n",
      "84ebbcd4    11707\n",
      "be6db1d7    11390\n",
      "779d90c2    11097\n",
      "36d749e5    10172\n",
      "9b5ce758     9727\n",
      "1ccc7835     9549\n",
      "f07e20f8     9080\n",
      "8b1aa260     8796\n",
      "be74e6fe     8782\n",
      "d4897fef     8547\n",
      "5db079b5     8114\n",
      "0eb711ec     7796\n",
      "a5bce124     7207\n",
      "ef726eae     7165\n",
      "158e4944     7077\n",
      "2ea4f8ba     6564\n",
      "            ...  \n",
      "c0a9be1a        1\n",
      "8b9ad4bf        1\n",
      "25b86da2        1\n",
      "2bfb4cac        1\n",
      "32b4e970        1\n",
      "49686d73        1\n",
      "9fcb012c        1\n",
      "498c7f66        1\n",
      "3df1712f        1\n",
      "09a1e7df        1\n",
      "089789b0        1\n",
      "92bd5c41        1\n",
      "e5d9ada1        1\n",
      "e8a74dd3        1\n",
      "c97df6ea        1\n",
      "7f5b2dd9        1\n",
      "931ea9e4        1\n",
      "6e7b2996        1\n",
      "8556e58a        1\n",
      "fedc7b0a        1\n",
      "26be1845        1\n",
      "2f2c61b8        1\n",
      "68a59e72        1\n",
      "0d981117        1\n",
      "3ba1d49e        1\n",
      "7856d9aa        1\n",
      "2bce3bc5        1\n",
      "46917a61        1\n",
      "e3b5d3b8        1\n",
      "9fc8e246        1\n",
      "Name: device_model, Length: 4581, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "#查看所有类型的值分布\n",
    "categorical_features = train_df.select_dtypes(include=[\"object\"]).columns\n",
    "\n",
    "\n",
    "for col in categorical_features:\n",
    "    print( '\\n%s属性的不同取值和出现的次数'%col)\n",
    "    print (train_df[col].value_counts())\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "根据上述信息 可以大概分析出个类型变量的值分布情况；有些站点的广告数量多，有些少；app也是一样"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "banner_pos\n",
      "0    777714\n",
      "1    220187\n",
      "5      1563\n",
      "2       336\n",
      "7       150\n",
      "4        48\n",
      "3         2\n",
      "Name: banner_pos, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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J75jtAGaB+jz/HWn9BfW5JebcOXEREUlvLn4SFxGRlJTERUQCNmeSuJm9w8yG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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xd5fb6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查看广告位置分布，以及数量\n",
    "pl.scatter(range(train_df.shape[0]),train_df[\"banner_pos\"].values)\n",
    "pl.title(\"distribuition of banner_pos\")\n",
    "print(\"banner_pos\")\n",
    "print(train_df[\"banner_pos\"].value_counts())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看出广告大多都出现在0、1位置上 这样是否可以让用户更容易注意到呢？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "device_type\n",
      "1    950293\n",
      "0     31219\n",
      "4     17193\n",
      "5      1295\n",
      "Name: device_type, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xd66c780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查看设备类型分布，以及数量\n",
    "pl.scatter(range(train_df.shape[0]),train_df[\"device_type\"].values)\n",
    "pl.title(\"distribuition of device_type\")\n",
    "print(\"device_type\")\n",
    "print(train_df[\"device_type\"].value_counts())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看出广告大多出现在设备类型1中  其他类型设备的广告数量较少,这样是否与广告点击有关呢？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "device_conn_type\n",
      "0    895464\n",
      "2     92045\n",
      "3     11591\n",
      "5       900\n",
      "Name: device_conn_type, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xdaa2860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查看设备连接类型分布，以及数量\n",
    "pl.scatter(range(train_df.shape[0]),train_df[\"device_conn_type\"].values)\n",
    "pl.title(\"distribuition of device_conn_type\")\n",
    "print(\"device_conn_type\")\n",
    "print(train_df[\"device_conn_type\"].value_counts())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "设备的连接类型大多是0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>C14</th>\n",
       "      <th>C15</th>\n",
       "      <th>C16</th>\n",
       "      <th>C17</th>\n",
       "      <th>C18</th>\n",
       "      <th>C19</th>\n",
       "      <th>C20</th>\n",
       "      <th>C21</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15706</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15704</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>100084</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15704</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>100084</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>15706</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>100084</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>18993</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2161</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>16920</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1899</td>\n",
       "      <td>0</td>\n",
       "      <td>431</td>\n",
       "      <td>100077</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20362</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2333</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>-1</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>20632</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2374</td>\n",
       "      <td>3</td>\n",
       "      <td>39</td>\n",
       "      <td>-1</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>15707</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>21689</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2496</td>\n",
       "      <td>3</td>\n",
       "      <td>167</td>\n",
       "      <td>100191</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>17747</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1974</td>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "      <td>100019</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>15701</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>20596</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2161</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>100148</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>19771</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2227</td>\n",
       "      <td>0</td>\n",
       "      <td>687</td>\n",
       "      <td>100077</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>20984</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2371</td>\n",
       "      <td>0</td>\n",
       "      <td>551</td>\n",
       "      <td>-1</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15699</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>100084</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17914</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2043</td>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "      <td>-1</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>15708</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>100084</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>6558</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>571</td>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "      <td>-1</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>21234</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2434</td>\n",
       "      <td>3</td>\n",
       "      <td>163</td>\n",
       "      <td>100088</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20352</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2333</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>-1</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>15706</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>20366</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2333</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>-1</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>15701</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>15706</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>100083</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>21665</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2493</td>\n",
       "      <td>3</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>20984</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2371</td>\n",
       "      <td>0</td>\n",
       "      <td>551</td>\n",
       "      <td>100217</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>21611</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2480</td>\n",
       "      <td>3</td>\n",
       "      <td>297</td>\n",
       "      <td>100111</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>20366</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2333</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>-1</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>15706</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999970</th>\n",
       "      <td>21684</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2496</td>\n",
       "      <td>3</td>\n",
       "      <td>167</td>\n",
       "      <td>100199</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999971</th>\n",
       "      <td>21660</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2446</td>\n",
       "      <td>3</td>\n",
       "      <td>171</td>\n",
       "      <td>100228</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999972</th>\n",
       "      <td>21647</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2487</td>\n",
       "      <td>1</td>\n",
       "      <td>547</td>\n",
       "      <td>100183</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999973</th>\n",
       "      <td>15701</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999974</th>\n",
       "      <td>21664</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2492</td>\n",
       "      <td>3</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999975</th>\n",
       "      <td>21654</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2489</td>\n",
       "      <td>1</td>\n",
       "      <td>547</td>\n",
       "      <td>-1</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999976</th>\n",
       "      <td>19251</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2201</td>\n",
       "      <td>3</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999977</th>\n",
       "      <td>19878</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2271</td>\n",
       "      <td>0</td>\n",
       "      <td>687</td>\n",
       "      <td>-1</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999978</th>\n",
       "      <td>21611</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2480</td>\n",
       "      <td>3</td>\n",
       "      <td>299</td>\n",
       "      <td>100111</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999979</th>\n",
       "      <td>19251</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2201</td>\n",
       "      <td>3</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999980</th>\n",
       "      <td>20596</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2161</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999981</th>\n",
       "      <td>21664</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2492</td>\n",
       "      <td>3</td>\n",
       "      <td>35</td>\n",
       "      <td>100076</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999982</th>\n",
       "      <td>19493</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2229</td>\n",
       "      <td>0</td>\n",
       "      <td>687</td>\n",
       "      <td>100031</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999983</th>\n",
       "      <td>17262</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1872</td>\n",
       "      <td>3</td>\n",
       "      <td>39</td>\n",
       "      <td>-1</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999984</th>\n",
       "      <td>16920</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1899</td>\n",
       "      <td>0</td>\n",
       "      <td>431</td>\n",
       "      <td>100074</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999985</th>\n",
       "      <td>21666</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2494</td>\n",
       "      <td>3</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999986</th>\n",
       "      <td>21666</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2494</td>\n",
       "      <td>3</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999987</th>\n",
       "      <td>21611</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2480</td>\n",
       "      <td>3</td>\n",
       "      <td>299</td>\n",
       "      <td>100111</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999988</th>\n",
       "      <td>16071</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1784</td>\n",
       "      <td>2</td>\n",
       "      <td>175</td>\n",
       "      <td>-1</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999989</th>\n",
       "      <td>20352</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2333</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>100081</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999990</th>\n",
       "      <td>20362</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2333</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>100077</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999991</th>\n",
       "      <td>15701</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>100084</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999992</th>\n",
       "      <td>15701</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>100083</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999993</th>\n",
       "      <td>19251</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2201</td>\n",
       "      <td>3</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999994</th>\n",
       "      <td>15707</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>-1</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999995</th>\n",
       "      <td>15699</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>100084</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999996</th>\n",
       "      <td>21612</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2481</td>\n",
       "      <td>3</td>\n",
       "      <td>297</td>\n",
       "      <td>100111</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999997</th>\n",
       "      <td>15705</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>1722</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>100083</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999998</th>\n",
       "      <td>20366</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2333</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>-1</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999999</th>\n",
       "      <td>21681</td>\n",
       "      <td>320</td>\n",
       "      <td>50</td>\n",
       "      <td>2496</td>\n",
       "      <td>3</td>\n",
       "      <td>167</td>\n",
       "      <td>-1</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000000 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          C14  C15  C16   C17  C18  C19     C20  C21\n",
       "0       15706  320   50  1722    0   35      -1   79\n",
       "1       15704  320   50  1722    0   35  100084   79\n",
       "2       15704  320   50  1722    0   35  100084   79\n",
       "3       15706  320   50  1722    0   35  100084   79\n",
       "4       18993  320   50  2161    0   35      -1  157\n",
       "5       16920  320   50  1899    0  431  100077  117\n",
       "6       20362  320   50  2333    0   39      -1  157\n",
       "7       20632  320   50  2374    3   39      -1   23\n",
       "8       15707  320   50  1722    0   35      -1   79\n",
       "9       21689  320   50  2496    3  167  100191   23\n",
       "10      17747  320   50  1974    2   39  100019   33\n",
       "11      15701  320   50  1722    0   35      -1   79\n",
       "12      20596  320   50  2161    0   35  100148  157\n",
       "13      19771  320   50  2227    0  687  100077   48\n",
       "14      20984  320   50  2371    0  551      -1   46\n",
       "15      15699  320   50  1722    0   35  100084   79\n",
       "16      17914  320   50  2043    2   39      -1   32\n",
       "17      15708  320   50  1722    0   35  100084   79\n",
       "18       6558  320   50   571    2   39      -1   32\n",
       "19      21234  320   50  2434    3  163  100088   61\n",
       "20      20352  320   50  2333    0   39      -1  157\n",
       "21      15706  320   50  1722    0   35      -1   79\n",
       "22      20366  320   50  2333    0   39      -1  157\n",
       "23      15701  320   50  1722    0   35      -1   79\n",
       "24      15706  320   50  1722    0   35  100083   79\n",
       "25      21665  320   50  2493    3   35      -1  117\n",
       "26      20984  320   50  2371    0  551  100217   46\n",
       "27      21611  320   50  2480    3  297  100111   61\n",
       "28      20366  320   50  2333    0   39      -1  157\n",
       "29      15706  320   50  1722    0   35      -1   79\n",
       "...       ...  ...  ...   ...  ...  ...     ...  ...\n",
       "999970  21684  320   50  2496    3  167  100199   23\n",
       "999971  21660  320   50  2446    3  171  100228  156\n",
       "999972  21647  320   50  2487    1  547  100183   51\n",
       "999973  15701  320   50  1722    0   35      -1   79\n",
       "999974  21664  320   50  2492    3   35      -1   43\n",
       "999975  21654  320   50  2489    1  547      -1   51\n",
       "999976  19251  320   50  2201    3   35      -1   43\n",
       "999977  19878  320   50  2271    0  687      -1   48\n",
       "999978  21611  320   50  2480    3  299  100111   61\n",
       "999979  19251  320   50  2201    3   35      -1   43\n",
       "999980  20596  320   50  2161    0   35      -1  157\n",
       "999981  21664  320   50  2492    3   35  100076   43\n",
       "999982  19493  320   50  2229    0  687  100031   48\n",
       "999983  17262  320   50  1872    3   39      -1   23\n",
       "999984  16920  320   50  1899    0  431  100074  117\n",
       "999985  21666  320   50  2494    3   35      -1  112\n",
       "999986  21666  320   50  2494    3   35      -1  112\n",
       "999987  21611  320   50  2480    3  299  100111   61\n",
       "999988  16071  320   50  1784    2  175      -1   95\n",
       "999989  20352  320   50  2333    0   39  100081  157\n",
       "999990  20362  320   50  2333    0   39  100077  157\n",
       "999991  15701  320   50  1722    0   35  100084   79\n",
       "999992  15701  320   50  1722    0   35  100083   79\n",
       "999993  19251  320   50  2201    3   35      -1   43\n",
       "999994  15707  320   50  1722    0   35      -1   79\n",
       "999995  15699  320   50  1722    0   35  100084   79\n",
       "999996  21612  320   50  2481    3  297  100111   61\n",
       "999997  15705  320   50  1722    0   35  100083   79\n",
       "999998  20366  320   50  2333    0   39      -1  157\n",
       "999999  21681  320   50  2496    3  167      -1   23\n",
       "\n",
       "[1000000 rows x 8 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看V14-C21类型数据分布\n",
    "C_list = train_df[['C14','C15','C16','C17','C18','C19','C20','C21']]\n",
    "C_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "C14属性的不同取值和出现的次数\n",
      "21611    83055\n",
      "19251    80563\n",
      "21647    73918\n",
      "21665    35306\n",
      "15705    29076\n",
      "15701    29072\n",
      "15708    28923\n",
      "15707    28881\n",
      "15699    28709\n",
      "15703    28377\n",
      "20596    28125\n",
      "15704    28042\n",
      "15702    27973\n",
      "18993    27780\n",
      "15706    27013\n",
      "20003    23728\n",
      "16208    19788\n",
      "21664    14948\n",
      "19950    13890\n",
      "16920    13666\n",
      "19771    13506\n",
      "19772    13493\n",
      "17753    11759\n",
      "17614    11388\n",
      "20366     9906\n",
      "20362     9846\n",
      "4687      9586\n",
      "8330      9520\n",
      "20352     9497\n",
      "17653     8698\n",
      "         ...  \n",
      "11191        1\n",
      "8334         1\n",
      "10895        1\n",
      "9016         1\n",
      "12228        1\n",
      "20540        1\n",
      "21631        1\n",
      "21160        1\n",
      "19632        1\n",
      "19739        1\n",
      "12223        1\n",
      "12220        1\n",
      "21158        1\n",
      "14202        1\n",
      "21363        1\n",
      "21672        1\n",
      "8434         1\n",
      "15384        1\n",
      "21369        1\n",
      "8437         1\n",
      "17444        1\n",
      "21136        1\n",
      "21555        1\n",
      "18156        1\n",
      "9015         1\n",
      "12200        1\n",
      "21615        1\n",
      "11190        1\n",
      "21626        1\n",
      "20509        1\n",
      "Name: C14, Length: 606, dtype: int64\n",
      "\n",
      "C15属性的不同取值和出现的次数\n",
      "320     953430\n",
      "300      35722\n",
      "216       9271\n",
      "728       1556\n",
      "768          9\n",
      "1024         8\n",
      "480          2\n",
      "120          2\n",
      "Name: C15, dtype: int64\n",
      "\n",
      "C16属性的不同取值和出现的次数\n",
      "50      957006\n",
      "250      31629\n",
      "36        9271\n",
      "90        1556\n",
      "480        517\n",
      "1024         9\n",
      "768          8\n",
      "320          2\n",
      "20           2\n",
      "Name: C16, dtype: int64\n",
      "\n",
      "C17属性的不同取值和出现的次数\n",
      "1722    256389\n",
      "2480     84357\n",
      "2201     80563\n",
      "2487     73918\n",
      "2161     55905\n",
      "2333     36779\n",
      "2493     35306\n",
      "1800     33758\n",
      "2227     27105\n",
      "2282     23728\n",
      "1993     23147\n",
      "1994     17262\n",
      "2492     14948\n",
      "1899     13666\n",
      "2374      9833\n",
      "423       9586\n",
      "761       9521\n",
      "2253      9077\n",
      "2481      8414\n",
      "2496      7861\n",
      "2043      7444\n",
      "576       7171\n",
      "2039      5230\n",
      "1872      5139\n",
      "2420      4996\n",
      "2446      4854\n",
      "2281      4722\n",
      "2229      4654\n",
      "1887      4640\n",
      "572       4475\n",
      "         ...  \n",
      "1932        41\n",
      "2397        40\n",
      "394         39\n",
      "2101        34\n",
      "2279        27\n",
      "2465        25\n",
      "2346        21\n",
      "2250        21\n",
      "2187        20\n",
      "2459        20\n",
      "1507        20\n",
      "686         18\n",
      "1008        18\n",
      "2084        18\n",
      "2483        15\n",
      "2421        14\n",
      "1685        12\n",
      "2206        12\n",
      "2438        10\n",
      "2218         9\n",
      "1149         5\n",
      "1141         5\n",
      "1515         4\n",
      "1107         4\n",
      "2482         3\n",
      "2428         3\n",
      "832          2\n",
      "1972         1\n",
      "1174         1\n",
      "1253         1\n",
      "Name: C17, Length: 162, dtype: int64\n",
      "\n",
      "C18属性的不同取值和出现的次数\n",
      "0    425079\n",
      "3    379449\n",
      "2    118443\n",
      "1     77029\n",
      "Name: C18, dtype: int64\n",
      "\n",
      "C19属性的不同取值和出现的次数\n",
      "35      487516\n",
      "39      138492\n",
      "547      75777\n",
      "299      47451\n",
      "297      46182\n",
      "167      45689\n",
      "687      39021\n",
      "1063     23237\n",
      "431      13884\n",
      "175      12483\n",
      "163      12457\n",
      "303      10818\n",
      "47        8215\n",
      "171       7399\n",
      "427       6597\n",
      "1711      2980\n",
      "813       2883\n",
      "551       2045\n",
      "161       1956\n",
      "681       1937\n",
      "1835      1822\n",
      "1319      1796\n",
      "1451      1633\n",
      "43        1569\n",
      "423       1491\n",
      "943       1099\n",
      "291        989\n",
      "169        686\n",
      "801        341\n",
      "41         292\n",
      "1315       277\n",
      "683        210\n",
      "1327       197\n",
      "679        187\n",
      "1071       120\n",
      "559        105\n",
      "673         87\n",
      "425         60\n",
      "33          15\n",
      "295          4\n",
      "45           1\n",
      "Name: C19, dtype: int64\n",
      "\n",
      "C20属性的不同取值和出现的次数\n",
      "-1         545390\n",
      " 100111     95626\n",
      " 100084     75248\n",
      " 100083     31234\n",
      " 100077     27020\n",
      " 100075     26375\n",
      " 100081     20749\n",
      " 100148     14743\n",
      " 100074     12390\n",
      " 100079      9497\n",
      " 100034      7773\n",
      " 100076      5973\n",
      " 100156      5812\n",
      " 100228      5062\n",
      " 100188      5024\n",
      " 100000      4968\n",
      " 100105      4895\n",
      " 100031      4654\n",
      " 100194      4235\n",
      " 100130      4192\n",
      " 100128      3600\n",
      " 100119      3564\n",
      " 100210      3059\n",
      " 100131      2936\n",
      " 100013      2866\n",
      " 100020      2687\n",
      " 100019      2638\n",
      " 100182      2526\n",
      " 100233      2394\n",
      " 100181      2331\n",
      "            ...  \n",
      " 100121        60\n",
      " 100152        57\n",
      " 100122        53\n",
      " 100213        52\n",
      " 100108        49\n",
      " 100097        47\n",
      " 100071        47\n",
      " 100073        36\n",
      " 100024        35\n",
      " 100113        33\n",
      " 100010        27\n",
      " 100137        26\n",
      " 100056        24\n",
      " 100016        20\n",
      " 100244        20\n",
      " 100179        18\n",
      " 100229        16\n",
      " 100099        15\n",
      " 100114        11\n",
      " 100138        10\n",
      " 100109        10\n",
      " 100186         8\n",
      " 100153         6\n",
      " 100246         3\n",
      " 100082         3\n",
      " 100178         3\n",
      " 100169         1\n",
      " 100132         1\n",
      " 100059         1\n",
      " 100078         1\n",
      "Name: C20, Length: 161, dtype: int64\n",
      "\n",
      "C21属性的不同取值和出现的次数\n",
      "79     256389\n",
      "61     108930\n",
      "23     100866\n",
      "43      95511\n",
      "157     92684\n",
      "51      75777\n",
      "117     72790\n",
      "33      47262\n",
      "48      42398\n",
      "32      37310\n",
      "52       9077\n",
      "42       6774\n",
      "91       6291\n",
      "156      5131\n",
      "95       5054\n",
      "69       4996\n",
      "46       4928\n",
      "13       4687\n",
      "112      4370\n",
      "16       4328\n",
      "15       3773\n",
      "71       2466\n",
      "101      2024\n",
      "195      1452\n",
      "100      1099\n",
      "82        902\n",
      "17        779\n",
      "93        605\n",
      "116       437\n",
      "111       343\n",
      "20        302\n",
      "70        105\n",
      "94         75\n",
      "68         58\n",
      "85         27\n",
      "Name: C21, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "for col in C_list:\n",
    "    print( '\\n%s属性的不同取值和出现的次数'%col)\n",
    "    print (train_df[col].value_counts())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "以上就是所有属性，对单个属性的分析了"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 将所有属性与目标进行联合分布分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 时间与广告点击的琴图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rvyHj8PGPW4sZmn4r0Zyz/zzgZ+MRLx/72H20trYWuhyRKWky+z1UAz8fnn3TBfzQtu0n\nJvH5RC6Zf/32t3n55Zd54YUXeH7dCwwceA6MwQpWkSluIFvSiOUr1oy/k8HK4ox24xrowBvtxE4N\nYoxhwYKFrFr1LlauXElTU1OhqxQRkdNobm7mS1/+K/7Xn/8539oR4o8Wx6b9sjQnW9fr4RcHA7z1\nrW/lve99b6HLEZmyJnV5mvOl5WnkcmRZFrt37+bFF1/k+efXsW/f3vwOfzHpcD3ZkkZywWpwTM1u\nTv5djwEw1Hp7gSuZmMkkcA104BzowBPrxs5l8fp8XLdiBStXrmTFihWUlJQUukwRETlHP//5z7n/\n/vu5qTbJf587iO8SDhn925fDAPzFNdFL96SAbcOmIx6+uSPE4iVX8b+/+n9wu92XtAaRQtPyNCKX\nkMPhoLW1ldbWVj784Q/T19fHiy++yLp163j55VfIHt6OcXtJh2rJhWrIBauw/CVgpmZwnRKyKZyD\nR3DG+3BHu3DE8xOtVVZVcf0db2flypVcddVVeDyeAhcqIiIX4p3vfCe9vb385Cc/4ZWjPt45O86N\nNSmc0/StcV/ExY/3FfH6gIuW5tl8+a++opAqchZqURWZRIlEgs2bN/PCCy/wwosvEhkYAMC4PGQD\nFWSLKskFq/Lrr7q8Bamx4C2qto0jOYAz3ocj3ocn0Q+J40B+PNMVV17J9atWsWrVKpqbmzHqTi0i\nMm1s376db33zG2zdtp3aIpv3tMS4piIzqSNnLmWL6uGEg5/uD7Chz0tpSTEf/sjvc/vtt+Nyqa1I\nZia1qIpMEYFAgNWrV7N69Wps26a7u5vt27ezY8cOtm7dxoEDW7F6rPzB/hIyRZXkhsPrtG11HdNa\n6owfwZ3ox87ml5MpCoZYvGQhCxfmb62trQQChV3rTkREJs/ChQv5p3/+OuvWrePb3/om92/t4sqS\nLL83Z5A5xZfvbEvRtOG/Dvp5usuP2+PhQx96H3fddZfe00TOg4KqyCVijKGuro66ujpuueUWIN/i\n+vrrr7Njxw62b9/O1q3biPXvyR/v8pAJVORbXIfDa6FaXS/YaGvpERzxPtyJI5gxraVNTbNZfOMt\nLFiwgIULF9LQ0KAWUxGRGcYYw/XXX891113HY489xgPf+y5f3uxiWWWK/9Y8REMwV+gSz9lgxvCr\nTh+PdwRIWQ7e+ra3cs8991BeXl7o0kQuOwqqIgUUCARYunQpS5cuBfJrzHV1dbF9+/Z8cN22jYMH\nXmO0i76/hHSwOj9BU7gGHFPvV9ikYrgGOnBFOnEnjmBnhltLi4IsXLSQRYsWsmDBAubPn09RUVGB\nqxURkanC5XJxxx138OY3v5l///d/5yc//hEbN3i5piLNHbMTtISnbmCNpg1Pdvj4dXeAoQysWrWS\ne+/9qGahF3kDNEZVZIpLJBLs2rVrNLy+8sqrpFJJjNNNOlybD63FDdhu3wVd/w2PUbVtHImjuI4f\nwhPpwCSOAVBXX8/Sq69m4cJ8MG1oaMAxRWc+FhGRqScajfKzn/2M//zZfxCLD7KoLMMdTQlaS99Y\nl+CLOUb1WMrB4+0+nukOkLZsbrjhBj7wgQ8yb968N3xtkenofMaoKqiKXGZSqRSvvvoq69at47nn\n13H82FEwhlywOr+Ga2kjtq/4nK93QUHVyuKM9gyvZdoxupbposWLuX7VKlauXElDQ8P5vjQREZFT\nJBIJ/uu//ouf/PhHDESiXFGS5Y6mBIvLLmzSpYsRVI8MOfjlIT/P9fqwcPDmN7+Z97///WpBFTkL\nBVWRGcK2bXbv3s0LL7zAc88/z/59+/I7/CWkihvIlTSSC1aecVKmcw2qJpPEGenANdCOJ9qNncvg\n9fpYsWI5q1at4rrrrqO4+NwDsoiIyPlIpVI8+uij/OiHD3Ok/yjN4Rzvacm3tJ6PNxJUjyYd/Gy/\nnxcO+3A6ndx2+1t53/veR01NzXlfS2QmUlAVmaF6e3t54YUXeH7dOl599VWsXA7j8ZOsWkC6ejGc\npuvt2YKqGYrg71iPM9oFtk1pWRmrr7+eVatWcfXVV+P1XmYTPImIyGUtk8nw1FNP8dD3H6TncB/X\nVqR537xBqvzWOZ1/IUE1nYMnOvw8ciiA7XDzjv/233jve99LZWXlBb0GkZlKQVVEiMfjbNiwgaee\neoqXXnoJu6icRNMqrKKKccdNGFQtC0/vVnw9r+L3+3jXnXdy/fXXc8UVV2hmXhERKbh0Os1Pf/pT\nfvD975PLpLitIcHbZw/hdZ75vPMJqrYNL/e7+eG+EEcShhtuuIH77rtPLagiF0jrqIoIwWCQm2++\nmZtvvpnnnnuOv/+Hf8TsfIR09SJStUvBOfGvv2Own8ChdZjBo6y+4Ub+6I8+pan1RURkSvF4PLz/\n/e/nlltu4V//9V/5xa9+xXOHA7xvTowVVekLGr86Vtegk4f2FLH9mJvZTY189o/+mGuuuebiFC8i\nZ6WgKjIDrF69mquvvppvfetbPProo3gGDpFoWpVf4masXBZv98t4Dm+npKSUP/tfX2H16tWFKVpE\nROQcVFZW8rnPfY477riDf7r/fr6xfS+/6cry0QUxKnzn1h14LMuGn+4L8HiHn0AgwKc+9Qfccccd\nuFz62CxyKWmtCJEZIhQK8ZnPfIZ//Md/ZFZpEYHXH8fdt+vEAVaO4K5f4undxltvv50ffP9BhVQR\nEblsLF68mG99+9t8+tOfpjMd4isvl9IZP0s/4JOkc/DPW0M82u7nttvfykMP/5A777xTIVWkABRU\nRWaYpUuX8n8feIDFS5bg734lPwAHcPfvwSSO8YUvfIHPfOYzhEKhAlcqIiJyfpxOJ29729v4p3/+\nOg5/CX/9Sgm7B84tZA5mDF99rZiXj3r41Kc+xWc+8xlKSkomuWIRmYiCqsgM5PP5+Oi992JnhnCk\nB8G28fVuYcGChaxZs6bQ5YmIiLwhc+bM4evf+CZlVbX83WvFvNLvPuPxx1OGv32lhH0xL5///F9y\n5513XqJKRWQiCqoiM9SiRYtYtmw5jsxgPqym4vz+739EM/qKiMi0UFNTw9f/5Ru0zJnH/VvDvNjr\nOe1xR5MO/vrlUo5k/Py/f/d3/M7v/M4lrlRETkdBVWQG+8hHPgy2jSMdZ9HixZrNUEREppWSkhL+\n8Wv3s2DhQh7cEyKWPvXL2B/uCRDNefja/ffT1nZOq2aIyCWgoCoyg82fP3+0BfVN112n1lQREZl2\nAoEAn/70Z0jmHPzsQGDcvl3HXWw84uW/v/8DtLa2FqhCETkdBVURAaCqqqrQJYiIiEyK2bNn8453\nvIO13T5SufyXspYND+8NUVlRzl133VXgCkXkZAqqIgJAdXV1oUsQERGZNPfccw/BoiIOD+U//j7f\n4+VQzMHH7vs4Pp+vwNWJyMkUVEUEgIqKikKXICIiMmmKi4t5z3vvIpF1kLXghcNemhobufnmmwtd\nmoichoKqiADg9XoLXYKIiMikuvbaawEYzBr2Rt20LVum+RlEpigFVREBwOU6twXRRURELldXXHEF\nxhiOpZykc3DVVVcVuiQRmYCCqogACqoiIjL9ud1uioqKRidUWrJkSYErEpGJKKiKCIC6PomIyIzg\n9/sBqCwvo6SkpMDViMhEFFRFREREZMYY6UHk1Uy/IlOagqqIiIiIzBgjQdVGPYlEpjIFVRERERGZ\nMTQng8jlQUFVRERERGYMhyP/8VdzM4hMbQqqIjOc3qhFRGQmsW0b0PufyFSnoCoiIiIiIiJTioKq\niIiIiMwYIy2qIjK1KaiKzHB6wxYRkZkkl8uNuxeRqUlBVURERERmjFQqBUA2ky5wJSJyJgqqIiIi\nIjJjjATV/qPHyGazBa5GRCaioCoiIiIiM0YqlQTAsix6enoKXI2ITERBVURERERmhPb2doaGkoTc\nFgBr164tcEUiMhEFVREBNKmEiIhMfz/5yU8wQLU/x1XlaX72Hz8lmUwWuiwROQ0FVREB0DgdERGZ\n1vr7+3nqySco9li4HPC2piEi0RiPP/54oUsTkdNQUBURADKZTKFLEBERmRS2bfPggw+SzeUo8+V7\nEF1RnGVucY6f/PhHRKPRAlcoIidTUBWZ4UbWUT169GiBKxEREbn4kskkX/nKV3jkkUf4nbohPMOf\nfo2Bd7fE6T/Sx0fv/UMOHDhQ2EJFZBwFVREB4NChQ4UuQURE5KLq6+vjk5/4BGuffpr3tAzywXmJ\ncfsXlGb57NIIQ8cP8/H7Psbzzz9foEpF5GQKqiIz2NhxqQqqIiIynWzdupV7//AP6Dy4lz9eEuXt\ns5MYc+px84qzfKntODWeBJ///Of5/ve/P9rbSEQKx1XoAkSkcHbv3j36eNu27di2jTndu7iIiMhl\noqenh8cee4wf/fCHlHuz/Pm1EeqKzjyzfZnX4i+WDvC9XUG+973vsWPHDu666y6uuuoqHA6164gU\ngoKqyAw1MDDAl778V2AcWG4/W7du4Qc/+AF33313oUsTERE5L4lEgt/+9rc88fjjvPraaxjgmso0\nf9Aap8h9bq2jHid8dEGcplCW/2/TS7z00kvMqq7iLbfexq233kpNTc3kvggRGUdBVWQGymazfPGL\nX+TIkSPk/CXYDg+50Cy+973vMXv2bG644YZClygiInJGtm2zZcsWHn/8cZ5Zu5ZkKkVVwOZdzUOs\nmpWiwm+d9zWNgdsak9xcl2TzEQ/P92b4/oMP8uCDD3LVkiXcdvvt3HDDDQQCgUl4RSIylplKffDb\n2trsTZs2FboMkWnvH/7hH/jFL37BUPMNuPvz3X+HrriFotefwJeO8I1v/Atz584tcJUiIiKn6unp\n4amnnuKJxx+jp/cwPhesqExyfU2KK4qzpx2HOtbfvhwG4C+uObclafqTDl7o9fJcr5/DCYPP6+Wm\nNWu49dZbWbJkiboGi5wHY8xm27bbzulYBVWRmaGvr49nn32WtWufYceO7aRmLSbdsAz/rscAGGq9\nHZNOENz1CH6nzU033siNN97Itddei9vtLnD1IiIyU0WjUXbt2sWuXbt4efNmXn3tNQAWlGVZPWuI\ntso0Xue5X+98g+oI24Y9ERfP9XjZcMTHUBZqZlWzctX1zJ8/n9bWVurq6jTXg8gZKKiKCAC9vb35\ncPrMM+zauRMAO1BGuqyF9KxFYBzjgiqAY2gAT89reCId2Nk0/kCAG1av5sYbb6StrQ2Px1Ow1yMi\nItNbKpVi79697Nq1i507d7Jz+za6enoBMEBd0GJ5ZZLrL7BrL1x4UB1XZ47hrsE+9kTcpIbnagoF\ni5i/YCHz588fDa8lJSUX/Dwi0835BFWNURWZZnp6enj22Wd5eu1adr/+OgB2UTnpumvJlM3G9hWf\n8XzLX0Ky5UaSVg5ntIvMsYM89ZtnePLJJ/H7A1x//SpuvPFGli1bhtfrvRQvSUREpiHLsujo6DgR\nSndsZ9++/WRz+dRX6oOWUIpVc7K0hLM0h3L4XVOjgcXrhJWz0qyclSZnQVfCyb6Ii/3RJPt3vsTG\njRsYaQuaVV3F/AULWbBgAa2trcybNw+fz1fYFyByGVBQFbnMZbNZurq6eP7551n7zDPs3bMHAKuo\nkkx9G5nS2di+8Plf2OEkV9JIrqRxOLR2kz5+kF8/8xy/+tWv8Pp8rFq5kptuuomlS5cSCoUu8isT\nEZHp5OjRo+zcuZNdu3axY8d2du3cSWIoCYDfZWgOpbm1Ph9KW8JZyrwX1mJ6qTkd0BjM0RjMsaYu\nBQySzMLBmIv9MRf7Ih1seamPtWvXAuBwOGhpaWb+/AWjLa+NjY04nefRf1lkBlBQFZniLMvi2LFj\n9Pb20tPTQ09Pz+jjru5u+vv7sYa/fbaCVaTrl5Etm43tvYjB0eEkV9JArqSBlGXhjPWQPn6Atc+9\nyNNPPw2APxCgpqaGutpaZs2aRU1Nzbh7v99/8eoREZEpKxKJ0NHRQUdHB52dnbS3t7Nr5w6O9B8F\nwGmgIWRxXVmaOcOhtCaQwzGNhnb6XNBamqW1NDu8Jc5AynAg5sq3vB7dxW+e2M8jjzwCgN/n5cor\nW5nd3ExjYyP19fU0NDRQVVWlACszloKqSIHZtk0kEqG3t/eUMNrZ1U1f32Gymcy4c4w3QNYdxPIE\nsaqqsb1hsuFabG9w8gt2OMgV15ErriNlWzhjvTgSR0mn4sT64+zv2YZJvYidy447LRQupra2htox\nAXYkxFZXV2vsq4jIZSSVStELLJrUAAAgAElEQVTV1UV7ezudnZ35YNreTkdHO7H44OhxTgNVAZs5\nwTS/Oy/LnHCWpmAWzwzMXiVem6XeDEsrMsAQlg2HEw72R13siw2x/8DLPLljC0OZE92b3W4XdbW1\nNDQ20dDQMHqrr6+nuLhYEzfJtKagKnIJDA4OjmsJHQmlnV3d9Pb2kEomxx1v3D5yniA5TxC7/Eos\nbwjLE8T2hrC8QXBMkV9d4yAXriUXrh2/3bYx2SQmFcORiuNIxUin4xzvjvL6oR5IxsA+0aXLGENJ\naRl1tbXU1IwPsbNmzaKyshKXa4q8ZhGRGSKXy9HX1zeuZbSzs4OO9kP0HTnK2Ak5S30wy5+hLZyj\nZlaOWYH8rdJn4dTqLaflMFBTZFFTlGZVTRpIYNsQzRh6Bp30DjnpTTjpGdzLvlcO8cI6Q25Mb+hQ\nUSAfYMe0wDY0NFBXV6cxsDIt6JOfyBtg2zZDQ0NEo1Gi0SjHjx8fbREduXX39DAYj487zzjdWN4Q\nWU8QO9yCVRnC9gbzgdQbBOdl3rpoDLbbj+32YwWrTt1vW5jMEI5UbDTM9qXj9B86wva9B7FTcRjz\nAcjhdFJRUUFtTQ21Y7oWV1dXEw6HR28KsyIi52ekV89IGB3pstvRfoiu7m4ymRO9Y/xuQ40/yxx/\nllWzT4TRWf4cPv35vSiMgWKPTbFnbLfhvJyVX9O1N+GkZ8hJbyJJb2+EjQd38uTQ+OtUVpTT2DR7\nXAtsQ0MD1dXV6koslw39WREZlslkRgPn6W6RSIRYLEYkEuF4JEI0EiUej5HLZk+9mMMJ3hBZTxGW\nvx67ZCSEhrA9QWyXl7OuSD6dGQe2p4icpwhCs07db1mYdBxHOj4aZrtScXr2dvPazt3YqcRpL+vz\nBwiHQxSHwxQXF1NcXDwaYouLiwmFQqOPR7YXFRWp65SITGsjYbSrq4uuri66u7vp6uqis6ODzo52\nYoMn/qY6HVDtt5nlz7CgJh9Ea4YDadhtz+i3rkJzOqA6YFEdsLiK8UOCklk4PNICm3DSm0jRu6eP\nnVteJjG2K7HLSe1wV+La2lrq6uqoq6ujtraWqqoqfeErU4r+Ncq0Y1kWg4ODp4TMaDQ6GjRHtg8M\nRIhEo8SiUZLJoYkv6nBi3D5sp5ec04Pl9GK7KrEr6rFdvnzwdHmxXD5sbwjb7Z/ZQfSNcjiwfWFy\nvjC50+23sjhScUx6EJNN5bsZZ1Oksyli2RTdfUM4egZw5lKQTWFnUmd4KgdFwXyALSkppmQ4xIZC\noXGB9uSbluYRkanEsiyOHDkyGkJHA2lnB93d3aOz60J+PdIyP1T7MiwryTGrNkeNPx9GK9RV97Lk\nc0FTKEdTaPy7pm1DLGOGw+vIbR8HXm1n/YuGzJjDnU4Hs6qqqGtoPCXE1tTU6H1PLjkFVZnSUqnU\nhCFzbCvnQCTCwEB+X2IwjmVNPKW9cXvB5RsTOIPYxRXY5V5slxfbOXw/HEBtlzc/JlTBc+pwuLD8\nJeA/x0XUbQuTTcNIqM2lhgNu/udkNsWxwRQmchSn1YMjl4JM8pQJocbyeLyEwiGKw8UUF4fPqfU2\nGAyqy5WIXLBMJkNvb++4VtGuri66OzvoOXx4XDddpwMq/TbVvgyrynNU+S2q/Tmq/PkwOhMnM5qJ\njIGwxybsyXJlyfj3NMuGgZSDviEHh4ecw/dD9O3qZtsrznEtsQCV5WXU1tdTV1c/GmBH7oPBSzCZ\no8w4CqpySaRSKeLx+GjgjMVio4/HtnhGo1GOD4wE0yiZdHrCaxqnG9xeLKeXnMOTD5W+WuygdzRg\nnhI4nR4w+qp4xjEObLcP3D5sis/9PCs7psU2Pdpym2+9TTKYTXH4WArT14XTOoDJprAzyXHja8eV\nYQz+QFG+9ba4mJKS07fehkKh0dtI92SHQ/9uRWaCRCJBd3f36G0kjHZ1tnPkyFGsMX9fvC6o9ltU\n+TIsqjkRRKv8FuU+a1ot9yIXn8NAmc+izGedMh7WtiGeNfQlnBwectA35OTwUJK+g32s27WVSGr8\n+1w4FMwH2Pr6cQG2rq6O0tJSDbGRC6KgKudsbJfakbB5cugc+3MkEiUaixGPx84YODEm363W5SXn\n8GK5vOAqxS6dddqwOa6VU2QyOVzYHhe2p+jcz7FtyKXHtdiOPs6lSGVTRFJJOrsjODuO4MilIZvE\nzp7hS5nhgJsPrvkxuKcLtGN/HtmmrloiU1MikWD//v3s2bOHvXv3cujQQbo6Ozg+EB13XMhrqPJl\naPHleFPTiSBarTGjMomMgZDbJlScZc5pvt9NZqEv6eRwIt8S2zeU5PDhY7zWvovfDI3/vtbn9YyO\ni507d+7oraKiQgFWzkif9GegVCp1SsvmRK2dkWiUaDS/bSgxOG4q+pMZpxtcnuHA6cFyerBdZVBa\ncyJgOj0nPfaB061utTJ9GAMj/8bP5zwrN65L8omwmz4RcNMpzOFBHN3HcQzvt7OpCVtwAdxu9/AY\n3OGuyMNdkMcG2/BptqmbssjFYds2x44dY+/evaOhdM/u1+nu6R19Tw16oC6QYYk/R1XZiSBa5bcI\nuM7rL4nIJeFzQWMwR2Pw1JkkshYcSQ63wiac9A0N0ReNs3PjQZ599tnR44rDQebOu4J5864YDa/1\n9fWa0ElG6V/CZSqXyxGPx88aNuPxOJFIlEg0QiwWJx6Pkc1kJr6wMZjhD9mWczhsOv3YRSXYxSPj\nNz2j3WhPhE5vfqZbEbkwDie2I4DtDpzfebYNucz4cbcjITeXIp1NM5hNcSSawhw7gtPqHh6Dm8LO\nneFvAeAPBE6MtR0zzvZsIdfn8+lbcpmRcrkcnZ2d7N2790Qw3bObgciJVtKqADQWpVgxO0dTKEtT\nMEep19L3tTJtuBxQE7CoCVhQPv59ZihraI87aY+7aI8lad8T4T9eeZns8NQiHrebljkt48Jrc3Mz\ngcB5vjfKtKCgOsUMDAxw8OBBDh06RF9f37gAmu9KGx1u3Tz98hwjxo/fdA+HyQoor8sHTefpWji9\nat0UudwYM9yTwYPtDZ3fuVZuNNQyHGzzY3FPhNxoZmQW5QgOK33WcbgATpeLoqLg8JjbfFflkRBb\nXFxMQ0MDTU1NNDQ04Ha73+B/AJHCSCaT7N+//0Qo3b2b/fv3kUrnP5g7HVBfZLE4mKapKh9KG4I5\ntZDKjOZ32VxZMn5ip6wFPQkn7TEnh+Iu2g9v4+n9u3nkkfzvijGG+rpa5o4Jr3PnzqW8vLxQL0Mu\nkUkPqsYYJ7AJ6LJt+22T/XyXi5FAOnI7cOAg+w8cIBaNnDhozNhNa6QrrTOIHSzHLhkTNoeDJ2O6\n1Kp1U0TOyuHEdvjzyymdD9s+MdHUaEtuevQx2RRDuRRH42nMwDGcVu/wWNzUuLG4DqeT2to6Wppn\n09zczOzZsxVgZUrLZrN897vfZd3zz9HZ2TU6sVGR29BYlOam6ixNwSyNoRy1gRwuzYEmclYuBzQE\nczQEc6wi/x5h23A05aA9lm99PRTfz7b1Xaxdu3b0vLKSYloXLOSTn/wkNTU1hSpfJpE505jDi/IE\nxvwp0AaEzxZU29ra7E2bNk1qPZfauQRS4/KQ85WQ9ZVg+UdupfkugGrdlEnkbX8Jd/8eAHKBcqxA\nGanG6wpclUxrVhZHMoJjaADH0HEcQwO4UxFIRkdbaR0OBzW1dcxpaaa5uZmmpiZmz56tACsFlUwm\n+fKXvsSLL73EkvI0LaHsaNfdcp+67l4uHtod4Lme/CRzTaEcjcEsH7jizL3UZOoYzBg64sMtrzEn\nm4/68AVL+N9f/T/MnTu30OXJOTDGbLZtu+1cjp3UFlVjTD3wVuBvgD+dzOcqtIGBAQ4cOMChQ4c4\neDAfRg8cODhBIK3GarhSgVQKzpE4hhkep+iK9TLxqqEiF4nDhRUoxwqc6LKVhFMC7MH4AF0bX+O3\nzz2nACsFF4lE+Oxn/xc7d+7knivj3FyXKnRJcoHa4y6Gcvmm7l0DavK+3BS5bVpLs6PL6dw+mOSr\nr8GnPvkJ/uZv/x+WLl1a4ArlYprsrr9fA/4nMOHAKWPMvcC9AI2NjZNczsX18MMPs37DBgVSEZE3\n6iIF2A9+8IPMmzevMK9BpqXDhw/zmU//GT1dnXxiYYxlVWdYbk1ELqm6ohxfuOY4X91SzP/8zKf5\n3Of/kptuuqnQZclFMmlfJRlj3gb02ba9+UzH2bb9r7Ztt9m23VZZWTlZ5UyK9Rs2sHXLlvHjSjFY\nniA5lw9Gx4oasHJwfotViIiIZeUDqXGAw43t8pF1+TFu35hDLLo6O9iwYSOdnZ0FLFamm1gsxv/4\n+H20d3Ry15xB2ioVUkWmmjKfxScWRvGYLF/+8pdYt25doUuSi2QyW1RXAXcYY24HfEDYGPOQbdsf\nmMTnvKT+6f77yWQy9Pb20t3dTVdXF11dXXR3d9PR2UVv7+vjl4IxDvAFybpDWN4Qli+E7Q1jecNY\n3hA4NQmziMwwto3JDOFIRTGpGI5kFEcqhjMdw5mK5WcYHiNcXEx9Qx11dYupra2lrq6Ouro6amtr\nKSkp0bI4clHlcjnKy8roP3qMh/YU8Uh7EYtKUywuS7OoLEPYoy+gRQohY8GeARdbj3nYetxLeyzf\n9lYSDjHZ8+/IpTNpyci27c8CnwUwxtwEfHo6hdQRbrebhoYGGhoaTtlnWRb9/f10d3eP3rq6uujs\n7KSru4PEkcFxxxtvEVlPEMsTwvLlw6vlDWP5QuD0qtuwiFyeLAuTjuNIxXCkojiS+VDqSsdxpKLY\nuROjo40xVFRW0TC7YTSAjtzX1tZqLT25pEpKSvj2v32H/v5+Nm7cyMaNG9m0cQPreuMAzA5bLC5N\nsrgsw9zirGb5FZkktg29Qw62HvWw9ZibXQMeUjlwOZ0sWrSItyxfzrJly5g7dy4Oh34Rpws14U0i\nh8NBVVUVVVVVXH311afsj0ajo+F1JMh2dnbS2dXF8a694441Li+WN0TWHYCRtU/HrYGafzx2n5ao\nEZGL7pSlaUbWXU2PX4s1l8Jkk7gyg5CMjVt31e32MKtmFg31reNCaF1dHdXV1ZoYSaaciooKbrvt\nNm677TZyuRx79uxhw4YNbNywgUd37OCRQxY+l2F+Sb61dXFZhuqAVeiyRS5riaxh+zE324652Xbc\nx5Gh/Pa62lnc9vbrWL58OVdffbW+wJzGLklQtW37GeCZS/Fcl5NwOEw4HKa1tfWUfclkkp6ennEt\nsd3d3Rzp7ycajTAYiZNMDp3x+sbpBnc+tGYdnnx4nSDgngi6+XVZMfo2SmTaGgmbueGQOS5opseH\n0FwKRy6NI5fB5FLYmRTYE38AdzgcBIqChMIhSsIl1NTMP6VVtLy8XN94y2XL6XTS2tpKa2srd999\nN/F4nFdeeWU4uK7nld19AFQFbOaG0swK5E7c/Dl8aiIQGSdnQX/SQW/CSU/CSe+Qk464i31RF5YN\nAb+PpddcyweGW01ra2sLXbJcIvpzOUX5fD6am/NLMEwkm80Sj8eJxWKnvcXjcaLR6OjPkWiMWOw4\n8eMx0ukzT61vXPlQazk95BwebJcH2+mF4fvThdx80HUr5IpcKlZ2TOtlCkYfp09q7cwHUKeVxmTT\n+XGfZwibxhgCRUUEgyGKi8OEQyFC53jz+/0aJyozSjAYZPXq1axevRrbtunq6mLDhg1s2rSRfXv3\n8OLBo+PGzJX6YJYvMz7ABnJU+ix1HZZpy7YhkjbjwmhvwknvkJu+hCE3ZlhpqChAY1MT//3t17Js\n2TIWLlyIy6XIMhPp//plzOVyUVJSQklJyXmfm8lkThtoR4JvNBod8zhGJBYlFu1nMBInkznzrIfG\nlQ+0ltNLzukeDrYjQff0Add2evKzJOsDrsw0Vm40VE7Uojm2e63TSmNyw2HTyk14WWMMfn+AYChI\nuCxMcXH1aJgMBoOEQiHC4fDo47G3QCCgFk+RC2CMob6+nvr6eu68804AUqkUXV1ddHR00NnZSXt7\nO50dHWzuaCfaHR8912mgMmCPC7E1w/clHltvj3JZGMoaehPjW0cPD7noTbgYyo4dAuKivq6OeQua\nuLmhgfr6ehqG74uLi/WFpwAKqjOW2+2mrKyMsrKy8z43lUqdNtCe7haNxYhEosRifSQG42Sz2Ykv\nbMxoS27O6cUaabl1+c54r7G4MiXYNuQymGxyuDtt8kS32nHbkris9GgLqJ3LnPGyPn+AYDBIuCJE\ncbjilFAZDAYJh8OnBNBAIIDTqd8NkULzer20tLTQ0tJyyr5IJEJnZ+doiO3o6KCj/RA7OrtIj1k1\nwOsyzPLnqPGf3BJrEXBphlO5tLIW9A05hltEnaOh9HDSzcCYidqNMVRXVtBw5WyWjgmjDQ0NVFVV\n6QtROSsFVTlvXq8Xr9dLeXn5eZ1n2zapVOqs4XYkAA8MDDAQiRKNdJFKJie87olw68Nyek4EWbfv\nRIvtKeFW//TlDGwbRsdvnhw8T9w7simcw91uz9Sd1hhDMJQfk15aUklxcZji4uLTtmaODaDBYFDd\nnUSmseLiYoqLi1m4cOG47ZZlceTIkfEBtqODQ+2H2HCoD2tMV+Jir2GWP0OVP0u136LKn6Pan6PK\nb1HkVoiVC5OxoH/IweEhJ31DTg4POegbctKb9HAkAdaYf1ol4RD1jY28qaFxNIjW19dTW1uL1+st\n3IuQy54+AcklY4zB5/Ph8/moqqo6r3PT6TTRaJRIJDJ6P3Ibu/34wAADAxGi0R6SQ4mJa3G6we0b\n7p7sOWurre3yaZ3by5Vtw3CYNJlkvittZoLQaaUx2eRw6Dz9BzyHw0EwFKa4OExpSRUlJSWEw/ng\nefL9yK2oqEjfHIvIOXM4HFRXV1NdXU1bW9u4fel0mp6entHwmm+FbWd7VyfP9QyMOzboMVT7M1T5\nRsJrjupAPsyG3epOPNOlcpwIognHiUCa9HD0pLfBgN9HbW0tCxqbxnXTbWhoIBQKFe5FyLSmT95y\nWfB4PFRUVFBRUXHO52QymVPC7enC7sBAhIFIhGjkMInE4ITXM07XGcLtRN2SXRp3ezHZ1mm60554\nzPB9PnTmA6mdTU0YOp1OJ6FwcT50ltacEjBPFz6Lioo0dkZECsbj8dDU1ERTU9Mp+4aGhujp6aGr\nq2vc7UBnB+sP9Y9rifW5TD68+jJUjbTEBnJU+y1KvRYO/ZmbFgYzZrQ19HDCSd+Qg8NDLvpSrnHd\ndAHCoSB1dfVcXV9PXV3duLWsS0pK9N4nl5yCqkxbbreb8vLy8+qinM1m8zMkn6XldmBggOORCNHI\nERKDg+NmdBzLOFzYviBZdwjLF8LyhrG8ISxfGNsTArWynSqbwpGM4khFcaRi+cfpGK50DDs1cSu5\ny+0mFApTXFpMaUn5GcPmyE0z1IrIdOL3+yccD5tOp+nt7R235F1nZyddnR280nWYbO7E5GxuR35i\npypvZji85rsSV/tzlGt24illZDbdk7vo9g25OJx0MZge//mkvKyUuqZ63lQ3PozW1taqZVSmHAVV\nkTFcLhelpaWUlpae8zm5XO6UcDtyf/z4cXp7e2nv6KSnez+p1LhZBjC+EBl3MB9gfSFsb3g0zE7b\nrsa2jckM4UhFMSNBNBXFmYrhTMfy63SOUVpWTn1zHQ3111JZWTlh+PT5fAqdIiIT8Hg8NDY20tjY\neMq+XC5HX1/faIgdCbJdHe3s7O4mlT4xsZPDQIUfqn1p6opyNARzNASz1AZyeDR/26SxbDgy5KBz\nML/GaOegk54hN31DTlJjZtN1GENVVSV18xpYdFKraG1tLT6fr4CvQuT8TNNPwiKXjtPpPKdlgmzb\n5tixY+O+ze7q6qKzs4vOri4Gj8TGHW+8RWQ9wROtsN4wlm84xLqm+OQEtoVJDw6H0Fg+lCbzraKO\nVBQ7d2L2Z4fDQWVVFQ0ts0/palRTU6M3VRGRSeZ0OqmpqaGmpoZrr7123L6R966TuxN3dLTzm0OH\nyGTyf8+NgVkBm/pAmoZgjvpgjoaiLJV+dSM+X9G0oTPupGPQNXzvpivhGhdIZ1VX0bSgmeVjuunW\n1dVRXV2N2+0uYPUiF4+CqsglYowZ7Yq8ePHiU/bHYrHx32SPfBjo7GKga8/4a7l95Lwhcp7QaHi1\nh4Os7fZfmhdkWziSY1tF8yHUlY5DMjpuBlyX201NTQ0N9a2nfLs7a9YszWwrIjJFjX3vWrJkybh9\n2Ww2Pwb2wAH279+fv+3bw6aDfaNDYrxOqCvKUV+UGQ2vDcEcYY9mJE7noGvQSeegi464k864k84h\nz7ixo+FQkJY5c7i6ZQ4tLS00NzfT3NxMIBAoXOEil4g+HYpMEaFQiNbWVlpbW0/Zd/IEGSNBtqOz\nkyM9B8aNkbVC1aTL55IpbQaX5+IWads4EsdwH92D9/gB7PTQ6C6fz09dXR0NDXPHBdG6ujoqKio0\n662IyDTjcrlGJ3a66aabRrcPDQ1x8ODBE+F1/35e27eH3/bER48Je6E+kKEhmKW+KN99uK4oh3ca\ndh+27Py6oyNddjvjTjoSHg4nzOhcfx63m6amJlbMmTM6zrilpYWysjINa5EZS0FV5DJwpgkyMpkM\nhw8fpquriz179vDEk0/ReXAd/vb1pEsayFTMIxeuBXPhQdFkEriO7sN7dB8mcQyny8WqlatYtWol\n9cPdjoqLi/VmKiIi+P1+5s+fz/z580e3jXQhHt/6upe1Bw+RzuTHwBqgqsimJZhmSVmaReUZii/D\nlteMBa8PuNly1M3rEQ9dg07Sw3NVGWOonVXNvGvm8ZbhFtKWlhbq6upwOqdhShd5AxRURS5zbreb\n+vp66uvrWbFiBe9///t5/fXXeeKJJ/jVr37N4O4DGE+AVNkcMhVzsfznOFGUlcU10I67fy+uaBfY\nNle2tnL7bR9izZo1hMPhyX1hIiIybYztQjx2bdhcLkd3d/doeD1w4ABbXn2FF3fm522YHbZYUppk\ncXmGueEszinaOedwwsHWY25eO+ph14CHVA7cLicLFy3i2rnzRr9sbmpqwu+/REN0RC5zZqJlNQqh\nra3N3rRpU6HLEJk20uk0L774Ik888QTr16/Hsiysoop81+Dyufj3/hpXrHf0+GxoFqmG5biPvI73\n+EHsbIqy8nJufctbeMtb3nLadftEREQuJsuy2LNnDxs2bGDD+vVs37EDy7IIuA0LS5IsKc+wuCxD\nmc86+8VO8rcvh9k1cGKyodaSDH9xTfS8r5PKwa7jbrYcc7PlmI/DiXyPoppZ1ay47k0sX76cpUuX\nKpSKnMQYs9m27bazH6mgKjJjHD9+nF//+tc89vjjHNi/H7uonJxx4YofHj0m5y/FOXQct8fDjTfc\nwK233srSpUvVHUlERAomFouxefPm4eD6Ev1HjwHQELRYXJZiSVmaK0qy57S+64UGVduG7oSTrUfd\nbDnm4fUBNxkLvB43Vy+9hhUrVrB8+XLq6+sv+HWKzAQKqiJyRs888wxf+tKXsNxFODKDJ3YYB7Ob\nmvj61/+ZYDBYuAJFREROw7ZtDhw4wIYNG1i//iW2btlKNpfD64KlZSne2ZKgJjBxS+v5BtVUDh5v\n9/Pb3gD9w/MHNjbUs+K6N7FixQoWL16M1zvFl4wTmULOJ6hqjKrIDHTTTTfx9re/nUceeWT8Dtvm\nC1/4S4VUERGZkowxo+M9f+/3fo9EIsGrr77K+vXreerJJ9i43svv1A3xjuYhQu4Lb4yxbFjX6+U/\nDgQ5noTly5dz9/XXs3z5cmbNmnURX5GITERBVWSG+vjHP86TTz5JOp0e3VZbW3PamYVFRESmokAg\nwMqVK1m5ciUf+tCHeOCBB3j0l7/k+cN+3tE0yJvrk7jPcwKmHcdd/GhviEMxB61XXsGX/8cnTllD\nVkQmn4KqyAzl9/tpampiz549o9sqKysLWJGIiMiFKysr48/+7M945zvfybe++U1+tHEjv+kO8N6W\nOMsq05xtBbWeQQc/3lfEK/0eqior+Ms/vo81a9ZoHXCRAlFQFZnBAoFAoUsQERG5qFpaWvjfX/0q\nGzdu5Bv/8nW+vu0QraVZ/nRxZMJzfnnIx8/2F+H1+fjDP/wg7373uzX2VKTAFFRFREREZNpZtmwZ\n3/nu9/jlL3/J/V/7Gg/uLjrtca/1u/n3fUXccMMN/Mmf/Amlpee43riITCoFVRERERGZlpxOJ+94\nxzs4duwYDz74IDWB7Lj9GQu+vStMS/NsPve5z6kVVWQKUad7EREREZnW7r77bq5asoTexPg2mu5B\nFxnj4Ytf+rJCqsgUo6AqIiIiItOa0+nk83/5lzicznHbh3KGP/mTP6WpqalAlYnIRBRURURERGTa\nq6yspKamZty2/5+9+w6P677vfP/+zZleAMygV6Kxi02kRFGktLGkOLIty21tJ87d9CLp8bO72c3e\n9c0mjrM3UTZOnE25+9yN41h2HMeJru0okWRFsmQVSrIosZMSGwqJDgKDPv2c87t/DDDAECAJSQQH\n5ft6nvPMzJkzg9/wIXDmc76/EggEuP/++wvUIiHEtUhQFUIIIYQQa0IoFLrmYyHE8iFBVQghhBBC\nrAlutzvvcTAYLFBLhBDXI0FVCCGEEEKsSbKeuBDLlwRVIYQQQgixJimlCt0EIcRVSFAVQgghhBBC\nCLGsSFAVQgghhBBCCLGsSFAVQgghhBBCCLGsSFAVQgghhBBCCLGsSFAVQgghhBBCCLGsSFAVQggh\nhBBrkm3bhW6CEOIqJKgKIYQQQog1KZVKFboJQoirkKAqhBBCCCHWhEQikfd4bGysQC0RQlyPBFUh\nhBBCCLEmDA0N5T0eHh4mHo8XqDVCiGuRoCqEEEIIIVa94eFhRkdH8/bZts2//uu/FqhFQohrkaAq\nhBBCCCFWNa013/jGN+bt9xqax//xH+YFWCFE4UlQFUIIIYQQq1Ymk+HRRx/lqaeeIuyx8p6r8FlE\nhy/zyMMP0d3dXaAWCoiBUz8AACAASURBVCEWIkFVCCGEEEKsSpOTk/yX3/xNfvjDH/Jvm+NU+vKX\no/E7Nf/XznGmRgZ55OGHOHXqVIFaKoS4kgRVIdYwy7Kuf5AQQgixAg0MDPD5Rx7m1KkTPLRlkgcb\nEwse11ps8sVbRwnoKf7Tf/oNXnrppZvbUCHEgiSoCrGGTUxMFLoJQgghxA01OTnJd7/7XR5+6NcZ\nGujh/9wxzp1V6Wu+ptJv8zu3jtIYSPKlL32Jr3zlK3R2dt6kFgshFuIsdAOEEIVz5eQRU1NTBWqJ\nEEII8f5cuHCBJ554gud/+BypdIbWYotfvnWS2sDieg+FXJr/umOcv28L8K9PP8mTTz7Jju3b+fgn\nPsGBAwdwuVxL/AmEEHNJUBViDbJtm8cff5zJycm8/T09PXR2dtLU1FSglgkhhBCLl0qlePnll3ni\nn77PO2fO4jEU+yoT3FObpDH07oe3uA34hY0xPtUU55V+Dz9qO8Hv/d5JIuESHvjogzzwwANUVFQs\nwScRQlxJaa0L3YacPXv26MOHDxe6GUKsakNDQzz66B9y7NhRtNODMlOzTyoHLqfBI488wsc//nGU\nUoVrqBBCCHEV/f39/Mu//As/ePopxicmqQpo7q2Jc6AqRcB19e+2jx4t4uzYbGV0U0mG37r16sNg\nbA2noi6e7/VyMupGORzs37+fj3/849x6661ynhTiXVJKHdFa71nMsVJRFWINOXjwIP/jj75MPJEk\n2bgf53A7zqmB3POWvwzL6ebP//zPOXToEF/4whcoKSkpYIuFEEKIbOX0zJkznDx5kmNHj3L8xHEU\ncGtZint3JtkSNlmKzOhQsKMsw46yDEMJBz/q9fLKoYMcPHiQ2poabt+7lx07drBt2zZKS0tvfAOE\nWMMkqAqxBgwNDfG3f/u3PPnkk+hAGbHNH0T7inFG2/OO0w4HifU/iWvwHd548y1+/hd+gd/8z/+Z\n22+/HY/HU6DWCyGEWGtisRinT5/m5MmTnDh+nHPnzpIxLRRQF7J5cF2SD9SkiHjt677XjVLus/ls\na5xPNMV5a8jNawOX+MG/9PFP//RPANTV1rBj5y527NjB9u3bqaqqumltE2I1kqAqxCqjtaavry97\ncj9xgmPHjzM4kK2apqq2ka69FRzG1d9AKTJVW7GKqtGdL/M7v/M7OJ0uNm/ZzM4dO9ixYwdbt27F\n5/PdpE8khBBitRsbG+PUqVPTwfQYbW3t2FpjKGgssvjJmjQbSzJsKDav2bX3ZnAbsL8qzf6qNKYN\nlyadnBt3cm7sIi8+18fTTz8NQHlZaV5wbWhokK7CQrwLElSFWOG01ly6dIkTJ05ku0QdP85INAqA\ncnlJByqw6m/HKq7F9oUX/b62P8LU5o/iHO/FmBzgRHsfp06d4lvf+hYOw2DD+vXs3LmT7du3s23b\nNkKh0FJ9RCGEEKvM0NBQ7oLqiePHuNTVDYDLgNZQhgfXZdhYkqG12MRzjWurheZ0QEuxSUuxyYcb\nktgaemIG58ZcnBtL8dbBKM8//zwAJUUhtu/cxfbt29mxYwfNzc0YxjL+cEIUmARVIVYYy7Lo6OjI\nntxPnOD48RNMTmYnglCeQDaYrtuAFarC9pbwvgbtOJyY4XWY4XWkAKw0xtRljMkB3u4d5Oy5x/mH\nf/gHlFI0NTezazq4bt++nXB48aFYCCHE6mTbNn19fXR2dtLR0UFHRwfnz56hf/AyAD6nYn1xik83\nZ9hYYtJUZOJyFLjR74NDQUPQoiFo8ZN1oPUUgwkH58ZcnB1LcubwK7zyyisA+H1eNm/ZQnNzC83N\nzTQ3N9PY2ChDbYSYJkFViGVKa83U1BQDAwNcvnyZS5cuZa8+nzxJIh7PHuQtIhOowGzcjhWqQntC\n7y+YXo/hxiquwyquIw1gmxhTQxiTA1wYGqTziX/me9/7HgB19Q3s2rmDLVu2UFVVRWVlJeXl5bIO\nnRBCrFJjY2O5QNre3k5HRzsXOztJptIAKKAioGnwp/nAepNNJRnqAxbGCg6m16MUVPltqvwp/k1N\nCogxnHRwfszJubEkFy+8xcnjR8lMr6TjUIqammpaWtfnwmtzczPV1dU4HKv4H0qIBUhQFaJAbNsm\nGo0yODiYtw0MDDAwkL2fTCbyX+QvIR2ox6qqwgpWoj3BwjR+hsOJVVSNVVQ9HVwtHPEozskBLk4M\n0PvMszz55JO5w5VSlIQjVFdXUVVZSWVlZS7EVlRUUFVVhd/vL9jHEUIIcX2pVIqurq45gbSDjvY2\nRkbHcseE3Iq6QJq7y03qgxZ1QYu6wPLuxnuzlHltyqrS3FmVDfC2hsGEg54pJ91TBt2xTs681ccr\nL7/MzGhcr8dNY1MTLS2tufDa1NQkM/OLVU2CqhBLJJVKMTQ0lKuI5kLo4CAD/QMMDw9hWfmLkSuX\nB9sdxHQF0EVN2OUBtDuI7Q5ie0Pg9Bbo0yySw8AOVpAOVkD1dhLaRqWmcKSncreX0zGGukY409GN\nTk6Bzp+x0R8IUlVVSfV0gL1yC4fDMhmFEELcBLZtMzg4mAujnZ2dtLddoKe3D9vO/u12OaAmYLM5\nkKah1aIuYFEfNCl26yXt4LOaOBRU+22q/Wluq5jZO0XKgp5YNrz2TBl0D57m5Y7zPJ2enUyqNFxC\nU0srLS2z3YcbGhqk+7BYFSSoCvEeTU5OzquGDg4O0j9dER0fG533GuUJYLoC2eBZvgXtyYbQmVuM\nVdYtVjnQ3iIsb9G8pxIAWqMyCVR6Csd0kE2np5gYjtHRfwaVfgttpvNe53K5Ka8ozwXZKyuy5eXl\nOJ3yp00IIRZLa83o6CidnZ2zW0cHnZ0dJJKp3HHlfqjzp9nZYFIfyFZJq3yru+tuIXkMaCkyaSky\nc/u0hvG0onvKSXfMoHsqSc+5EY4fPYw5fd3X4XBQV1tDc0srTU1Nua2mpkYmbxIrinybE+IKpmky\nOjrKyMhI3u1MdbS/f4DBy5dJJuL5L3QY4AlOB9FydE0jtieYrYh6gmiX/9rLwqxFSqHdfrTbjx2s\nmP+81mClpyuysVyQjcen6DnXhXHqDDodv+ItFeFIaV5VNhKJ5LZwOEwkEiEYDEplVgix5kxOTuYH\n0s4OLnZ2MD4xlTsm6FbU+jPsL8vkAmldwMQn3xoLTiko8WhKPBm2lWam98awbBhITFdepwy6Yx28\n82YPL7/0Uq77sMvlZF1DA03NLXkBtrKyUs6HYlmSPzliTbAsi7GxsXkBdOZ+NBolOv14anJywffI\n65YbasQuDeRVRLXTu7QTGa1FSoHTg+30gL8Ua6FjbBOVjk1XZGOo9BSDqSkud0Wv2r0YwOl0UlIS\nJlIaoay0NC/EztzObD6fT07iQogVJZFIcOnSpSuqpG0MR2d7+3iditpAhp0Bk7rKbBitDVjSbXcF\nMhxQG7CoDVjsrZzdn7KgN2bQG3PSM2XQM3qWwwc7+OEPZ4/x+7ysW9dI0/S415ktEonIuU8UlARV\nsWLZts3ExMSCwXPm/nA0ezs5MY7W8xcIV4YT3H5Mw4vt9KG9teiQD+3KbrZr9j4O+XVZlhxOtLcY\ny1s8L8jmuhebKZSZyHYznrMlMgkG+qcweoZxZBLoTCJbxb2C2+2hJFySC7RXVmfnPvZ6l/k4YiHE\nqpJOp+nu7qazs5OLFy9mx5J2tDMweDl33psZR7oxkOHeFpO6gEVt0KLUY0sgXeU8BjQXWTQX5Z8h\nYxlFb8ygJ2bQE0vQOzDJwY5z/GDO+NeiUJDGpiaa51RgGxsbKSqaP5xHiKUg37zFsjKzJMtM0Lyy\n+20ufEajjE+MY1sL1NgcBsrtxzK8WC4f2l2Jrm7MBk5nfgBddWNCxXxKoV1etMsLvuus7artbKi9\nItCmM3FimSR9PaM4Lw6gzAQ6nVjwLbxeH+FImNJIKaWl88PsTKANh8O43e4l+MBCiNVsZGSEY8eO\ncfz4cU6eOE53T29uYiNDQVVAU+9Ps69xtstuhc/GIYFUzBFwaTaUmGwoMfP2T6RVtvIac9ITS9Jz\naYxnz5wmkZkzgVMkzKbNW7j11lvZtWsXjY2NsnSOWBISVMVNFY/H6e/vp6+vj97eXvr6+hgeHmY4\nGiUajTI2NoZlmvNfqBwoTzZ82k4ftqsUXVGXq3Zqlz9bEZ0Jn3KJWLwXyjFbQb8e20aZSVQmngu0\nDjNBOpNgMpmg+9IQzo4eVCaOzqQWfAt/IEg4HKasrJTSSITKykpqa2upra2lpqaGsrIymfhCiDVu\nbGyMEydOcOzYMY4dPcKlrm4AfC7YUJRmR705HUgtqvwWTskL4n0ocmu2REy2RPIncBpJObLV1ymD\nnliK88dGee211wAoLgqxc1c2tO7atYuGhgbpMixuCAmq4obSWjM+Pp4LoTO3Pb299PT0MjE+lne8\ncnmx3QEspxftLMEuq54TPmeqn34w3BI+xfLicOQmgrou25qt0JoJHLlKbYLxWIKu8X6Mc52QnMwb\nT2s4nVRWVlFfNxteZ26rq6ulIivEKjQ5OZkXTDs6LwLgcSo2FKX4TEuGzWGTxqAps+2Km0IpKPXa\nlHptduQmcJpiOOHgzJiLd0aTnH7zZV5++WUAIuFidt26h127drFz505qa2sluIr3ZMmCqlLKC7wC\neKZ/zne11r+7VD9P3DyWZTE0NERfX18ujPb29tLT20tfbx/JZH6XSOUNknEFsT0V6NoWbG8RtieE\n7SkCp3zRFmuAw8hOuOUJAiw8KRRkux6n4zhSEzhSk6jkBJfik/SebsNx5FjeUj1KKSKlpdTV1lFb\nW5NXia2pqSEYDC795xJCvG/xeJyTJ09y9OhRjh09Slt7O1prXAasL8rwb5szbA5naAqZUi0Vy0qZ\nz+YuX4q7qlNoHeNywsE7oy7OjKU48uoLvPDCCwCUl0bYtXs2uFZXVxe45WKlWMqKagq4R2s9pZRy\nAa8qpZ7RWr+xhD9T3CCpVIqBgYFcRXQmkHb39DA4OJjfPddhgCeE6Q5iFzVhl4ewvSG0pwjbE5RJ\niIRYLOVAe4JYnuD8MKt1tqtxahJHMhtkB1ITXG7v4+SZ8/OW6QmGQtTW1lJfV5cLrzMVWZnJUYjC\n01rz+7//f/Piiy9h2zZOR3bNzI+tS7MlnKGl2MQlwVSsEEpBpd+m0p/iA7UptJ6iP+7gzHRw/fFL\nz/Hcc88BUFdbw5f/+E+oqakpcKvFcrdkCUJnp5qbWZTLNb3Nn05TLBumafKlL32JM2fPMhKN5s2S\nq5xubE8I0x3CLtuMnlMV1W4/KDmbCrGklJrtDr/QmrNWBsd0iFWpSdKpCcb6Jjh/6U10cjJvNmO3\n20N1dTU/93P/jnvvvfcmfgghxIzOzk5eeOFH7KtMcXd1ktZiE48MSRerhFLZmaZrAinurUth6yl6\nYwbvjLr4TlsfP/jBD/iVX/mVQjdTLHNLWupSShnAEaAV+F9a60NL+fPE+6O1ZmxsnOjwMACZ0lbS\nFZvQnpCsEbpaWWm8Xi8PPPAATz31FFNW+vqvEcuT4cL2R7D9kbzdCciOkU1PYcSjeLrfIp2O0dvb\ni7XQrNlCiJvixz/+MQA/3Roj7JHr+DdLwlR5573EQhM4ihvOoaA+aFEftDgy5OH1V1+VoCqua0nL\nYFprS2u9E6gDbldK3XLlMUqpX1NKHVZKHR4aGlrK5ojrcLlc/OVf/gVf/OIXqaiswhVtw9t3DJVJ\nSEhdpZSZ5oEHHuDzn/88H/nIR1CmBNXVSeEc78Xf9QaOdIz77ruPv/u7b/HBD36w0A0TYs167dWD\nNBdZElJvsrip8s57cVO+39xsu8pSdFy8SH9/f6GbIpa5mzJ4UGs9ppR6CbgfOH3Fc18FvgqwZ88e\n+WtdYEop7rnnHg4cOMATTzzBN7/5txhvP0GmbD2p2lvR7kChmyhuIO1089RTT6G15umnn0Y7FzGD\nrVg5tMY51oWv9zAkxtm+YwcPP/wwmzZtKnTLhFjTJiYmOHP2HOuCmiNDLraEM/hkOoebwu/Ueee9\nSqd89bxZbA2dk04GE9k+7m+++SYf+9jHCtwqsZwt5ay/5UBmOqT6gPuAP1qqnyduLLfbzWc+8xnu\nv/9+/u7v/o7vff/7uEc6sXwlWK7skhzaFcB2+9HuQHYdU3cgu4apWDkMN8n4CN/73veyj0MlhW2P\neHe0jcpk13J1pGOodGz6fhyVieFMxyA5QV19PY88/F/Zt2+fTKIkxDLg8Xi49957ef21V/nzU04M\nB2wszrCjNM2O0jTVfls6Mi0Rn1OTnErmznu+EgmqS2kqozg94uJE1M2pUQ8TqWxRZMvmjWzevLnQ\nzRPL3FJev6sGvjk9TtUBPK61fmoJf55YAkVFRTzyyCN84hOf4PHHH6enp4fBy5cZHu4mHovNO145\n3Wi3H9PpWzDIapcf7fLK5EtCXI9lojKx6dA5E0SzAdTIxDEyCXQ6ljdJEoDD4SAciVBRW055+Xpu\nu+02PvShD+F0SrlGiOXC4/Hw27/922QyGU6fPs2hQ4d448ev8522Lr7TFqDcr9kRTrGjNM2mcEYm\nWRIrhtbQNWVwIurmxIibtnEnWkNRKMjeu/exd+9e9uzZQ0mJXBgX16e0Xj5Xkvbs2aMPHz5c6GaI\nRUomkwwPDzM0NMTw8HBuGxoa4vLlIS4PDTE2OoJt2/kvVArlDmC5fFiu6fDqng2y9nS1FkO+WC81\n39kf4JwcyD02Q1UkNn24gC1aA2aWmZkOnVcGUaeZfawzqXkv9fr8lJWVUVlRTllZGeXl2duZrby8\nnJKSEgxDvtUKsRINDg5mQ+sbb3DkyGFSqTQuAzaXpNlRmq24Vvjs67+RuKpHjxZxdmy299emkgy/\ndetEAVu08sVNxdsjLk5EXZwc9TKWzO7fuGE9d+y7k71797Jx40Y5NwkAlFJHtNZ7FnOsJAHxnnm9\nXurq6qirq7vqMZZlMTY2tmCYHRoaYvDyENHhTpLJxLzXKpcH7QpgOn1XVGazQVa7/TIbsVhebBOV\njuPIxPODaDqGIxPHaSbQqRjo/C+aSilKwmHKq8upKG+6agj1+2UMsRCrWWVlJQ8++CAPPvggqVSK\nU6dO8cYbb/DGj1/nW+f7+BYBKv2adcE0dQGL+qBJXcCi3GfjkFOhuAkmM4qeKYPuKSc9MYPumJOL\nE04sDcGAnz133M4dd9zB7bffTiQSuf4bCnENElTFkjIMg9LSUkpLS695XDwev2qYvTw0xNDQMOP9\nbczrAaAcKI8fy/BhTa8xmd382fUm59zHIVfyxHugNVhpHJkEKhNHTd86MglUOoEy4zjNJCqTQGeS\n817udnsoKy+jorwmFz6vDKGRSES65goh8ng8Hvbs2cOePXv4/Oc/T09PD2+++SZHjx6lve0Cb3YO\nzh7rVNT6TeoDGeqCFvUBk7qgRZF7+fSaEytL2oK++HQgnTLojhn0xN25ailku/M2t7Tw2S1bueOO\nO9iyZYucy8QNJf+bxLLg9/tZt24d69atu+oxpmkyMjIyL8yOjIwQjUYZjo4QjQ4wNTwxP9ACyuVF\nu3yYTi/a6Ue784OsdvmxXT4w3FKlXQtsG2Umrgies0HUMJMYZgKdjoM9f71Rl8tNOBKmrKo0FzYj\nkci8EBoMBmUCIyHE+zbTg+mTn/wkkL3Ae/HiRTo6Oujs7KSjo4MT7W283D+Ze02xR1HnT1MXNKkP\nWNQFTWoDlox5FTm2hssJR65C2jNl0B13MxhXuSkQ3C4X69atY+9tLTQ3N+e2SCQi5zexpCSoihXD\n6XRSUVFBRUXFNY8zTZPR0dFcgB0ZGclt0WiUaDTK0HCU0WgXZiYz/w0cBsrtx3L6sJze2SDr9ucH\nW6cPHDIp1LKiNdgZVDqR7X6buSKIZuI4renqZ3p+d3OAYCiUDZxl9UQiEUpLS/NuZ+4HAgE5QQsh\nCsbv97Nlyxa2bNmSt39kZCQvvHa0t/HSxYuk0tnznQIqApo6f3o6vGYrsJV+6T682o2nVX6FNOai\nN2aQnr4Wq5SipqqS9beu56eam2lqaqK5uZna2loZXyoKQoKqWHWcTifl5eWUl5df8zitNVNTU/OC\n7NzboeFhRkZ6mRqaXPA9lDvb1dg0vLmK7GyF1oft8qM9AXDIr9r7kpuAKIbKJK7ohpsNpU4rCek4\n2jLnvdxwOgmXhCmtKaWstGnBAFpaWko4HMblkiWWhBAr18wFtT17ZucqsSyL/v7+bHCd2drbOHap\nH3u6bOYyoDZgU+ufGf9qURewCHtkqZyVJmGqXHW0N2bQE3PSE3czkZrtbRYuKaJ5fSu7m2YrpOvW\nrcPn8xWw5ULkk2/PYs1SShEKhQiFQtfscgyQTqcZGxvLC7Jzq7XD0SjDw1HGhjqxrPndRJU3RMYd\nwvYWY3uLsreeIrQnKEv1zGWlcSQncCTHc7dGagIjNYE20/MO9/sDREpLKSutpaxstuJ5ZQANhUJS\n/RRCrFmGYeS6Dt999925/alUal734bMd7bw2MJo7xu9S1Poz0xM3ZSdvqg1ahFwy/rXQ0hb0x43p\nUJrtutsbdzM8p8OQ1+OhqamJA3O67DY3N8vyMGJFkKAqxCK43e5FdTvWWjMxMZFXle3r66Onp4dL\nXV30dF8icTk++wKHAd4iMu4Qem6I9RZluxavxnBlWzhSkziS46g5YdSZnkCnZv9tlFKUlpWzblMj\n9fXZL1iVlZV5YdTj8RTwgwghxMrm8XjYuHEjGzduzNs/MTFBZ2fn7NbRwZsd7fyod/ZvdIkX6nwZ\naqdnHq4LWtQFTBn/ugRsDYMJRy6M9kxlA+lAXGFPXy9wGgYN9XXs3LWepqam3FZZWYlDhimJFUqC\nqhA3kFKK4uJiiouLaWpqmve81prR0VF6enro7u7O3V7q6qKv7wyWOdttVTndWJ4iLE9RfiXWW5Sd\n8Gk50zq7JEtyfLY6mhrHmZ6E5CTMmewqVFRMQ0M9DQ27qKuro76+nrq6OmprayWICiFEARQVFbFj\nxw527NiR26e1Znh4OC/AdrS38dKlS7nxrwAVfqa7D5u5LsRVfgunZKXr0hpGUo5cGO2JOemJueiL\nO8hcMY60eVcr906PIW1qaqKurk5m3BWrjvyPFuImUkrlqoHbt2/Pe86yLC5fvpwLsF1dXXR3Zyux\n0f7OvJmMlceP6Z4NsdpbhBUsR7tu8jqbWuOIDeNIjuUCqTM1gSM5gbZnQ7fHk11zt6FhQy6IztyG\nQqGb22YhhBDvmlIqN//D7bffnts/M/71ygB7orsX286uGW0oqAnatIbSrC/OsL7YpMInY1+nMor2\ncScXxp1cmHBxacpNPDN7ri8rDdO0qZW909XRmXGkXq+3gK0W4uaRoCrEMmEYBtXV1VRXV+d9CYDs\nOKLe3t68SmxXVzdd3d1MDp/PHqQUVqiKTKSZTLgRnEtUjdQaRzyKK9qBe+wipKYAcBgGVVVVrNu0\nkfr6+rxAWlpaKmNEhRBiFZo7/vWuu+7K7U+n03R3d+fC6/nz53nz7dO82JcdQFnkIRdcW4tNmkIm\n7lXcbVhrGIg7OD/uom3cyYVJD31T2fOiw+GgtaWZn7x7a65C2tjYSFFRUYFbLURhSVAVYgXweDy5\nCRCuNDk5SVdXF4cOHeKHzz9P/8XX8Hb9GLOolkykGbOkAYz3P5OtIzGGc6QDz2gnJMYxDIPbbruN\ne+65hy1btlBVVSXdjoQQQgDZuR1aWlpoaWnJ7bNtm4sXL/L2229z+vRpTp86ydH2fgAMBzSGLNYX\npVlfbLK+OEOJZ+VO2JSyoHNiulo67qJt0sNUOvt5QoEAW7dt48O33MLWrVvZtGmTzLYrxALkW6UQ\nK1woFGLr1q1s3bqVX/zFX+TcuXP86Ec/4vkXXmCk42WU4SJdXIcZacYsrstO4LRIKjWJa6QD9+hF\nVCyKUoodO3dy3733cvfdd8vVXiGEEIvmcDhyF10/+tGPAjA2NjYnuJ7ihXNn+dfu7NCRcj+sD6Vo\nne4uXBewMJbpWNeRpGM6lDppm3BzadLAms7ZDfW13L13B1u3buWWW26hvr5eJjgSYhEkqAqxiiil\n2LRpE5s2beKhhx7i1KlTvPDCC/zoxReZautEOT2kSxpIl2/CDl5lnVnbwjV0DvdIB46pywBs2ryZ\n++79GT7wgQ9QWlp6Ez+REEKI1aykpIT9+/ezf/9+ADKZDBcuXJgNrydP8Pr5MQC8TsW2cJID1Sm2\nRzIFD629MYOD/R7eHPLlloTxuF1s3ryFn9m2ja1bt7JlyxaKi4sL21AhVig1d4KWQtuzZ48+fPhw\noZshxKpjmiZHjhzhhRde4JWDB0ml0kxtuB9P7xGckwOzxwWr0G4/rpEOGpua+cn77uWee+6hurq6\ngK0XQgixVmmtGRwc5O233+bkyZO8/OKPGJuYpMQDd1YmuKs6RW1g/vrlV/Po0SLOjs0Oh9lUkuG3\nbp1Y9OtjGcUbg24ODvjomDAwDAd79+5l9+49bN26ldbWVhkGI8Q1KKWOaK33LOpYCapCrC3j4+M8\n9PAjDAyNYLoDGLHh3HO2O4AjHeNXf/VX+dmf/dkCtlIIIYSYL5PJcOjQIZ555hneeOPHWJZNc5HF\nXVUJ7qhME3Bd+3vtewmqtobTIy4O9ns4OuwhY0NzYyMf+shHuO+++wiHwzfkswmxFryboCqXfIRY\nY4qLi/njL/8Rv/7Qw8Tio3nPOdIxPvzhD/O5z32uQK0TQgghrs7lcnHgwAEOHDjA6Ogozz//PM88\n/TTfPH+Rv2+DW8tS3FWd4pZIBsf7nGy+P+bg4ICX1wZ9jCYhFAzw0Y//FPfffz/r16+X2eyFWGJS\nURVijTp58iT//t//+7x9wWCQJ554QrotCSGEWDG01ly4cIFnnnmG53/4HJNTMUp98MsbJ7glksk7\ndjEV1bGU4mtnQ5yMunAoxe17b+dDH/ow+/btw+1235TPJMRqJRVVIcR1bd++nbq6Onp6enL7Ghsb\nJaQKIYRYUZRSfhrRCQAAIABJREFUbNiwgQ0bNvDwww/z+uuv89jX/4Y/Pt7NJ5riPNiYWHR19dyY\nk//1TjEJ28Wv/uovcP/998skgkIUiMyNLcQaduVMhIaxildbF0IIseq53W5+4id+gv/9V1/l3vvu\n4/udfv70ZBGTmWsnVa3hmS4vf3ismECkmv/3f/8VP/uzPyshVYgCkqAqxBom1VMhhBCrkc/n47/9\nt//Gb/zGb3Bm3MsXD0fomFj4YmzcVPzl6RDfaQuw/8Bd/NVX/5rm5uab3GIhxJXkW6oQQgghhFh1\nlFJ87GMfY+PGjXzxd36b3z8K1X4z7xhbw38/EmYgYfDIIw/x6U9/WiZJEmKZuG5FVSllKKWevxmN\nEUIIIYQQ4kbatGkTf/21v6GsvILLifyq6mjKQV9M8eijj/KZz3xGQqoQy8h1g6rW2gLiSqni6x0r\nhBBCCCHEclNcXMwv/tIvk7Lyg2g0ZXD77bdxxx13FKhlQoirWewY1SRwSin1N0qpv5jZlrJhQggh\nhBBC3Cj33XcfHk/+8jK2hl/+5V8pUIuEENey2DGqT09vQgghhBBCrDiGYVBdXcPFixdz+4qLi9m4\ncWPhGiWEuKpFBVWt9TeXuiFCCCGEEEIspSuXZYtEIgVqiRDiehYVVJVSnYC+cr/WWubuFkIIIYQQ\nK5LX6y10E4QQV7HYrr975tz3Ap8G5BKUEEIIIYRYsdxu9/UPEkIUxKImU9JaR+dsvVrrPwPuWeK2\nCSGEEEIIIYRYgxbb9ffWOQ8dZCusoSVpkRBCCCGEEEKINW2xXX+/Mue+CVwEPnPDWyOEEEIIIYQQ\nYs1b7Ky/H1jqhgghhBBCCCGEELDIMapKqWKl1J8qpQ5Pb19RShVf/5VCCCGEEEIIIcS7s6igCnwd\nmCTb3fczwATw2FI1SgghhBBCCCHE2rXYMaotWutPzXn8e0qp40vRICGEEEIIIYQQa9tiK6oJpdSB\nmQdKqf1AYmmaJIQQQgghxNJLp9OFboIQ4ioWW1F9GPjmnHGpo8DPL02ThBBCCCGEuPG01nmPEwmp\nuwixXC02qJ4Bvgy0ACXAOPBx4OQStUsIIYQQQogbamRkJO/x0NBQgVoihLiexXb9/Wfgo0AS6AWm\ngNhSNUoIIYQQQogbKZPJMDg4kLcvFotx/LhMuyLEcrTYimqd1vr+JW2JEEIIIYQQS+TZZ58lkzHz\n9hkKvvnNb7Bz558VqFVCiKtZbEX1daXUtiVtiRBCCCGEEEugq6uLbzz2dbxG/hjVUo/FsWPHefrp\npwvUMiHE1VyzoqqUOgXo6eN+USnVAaQABWit9falb6IQQgghhBDvzRtvvMF//70vYVhJKn0Wl6Zm\nv/6WeGzKfJo//uM/prOzk4ceeginc7EdDoUQS+l6v4kP3JRWCCEK4srZD4UQQojVQmvN3//93/O1\nr/01DUGb/7BznK+eCeYd41DwX3aM8502P9/97nfp6Gjnd3/3SxQXF1/lXYUQN8s1g6rW+tLNaogQ\n4uaTafmFEEKsRolEgi9/+cu8+OKL3FGR4pc3T+ExFj7WcMD/sSHOupDFN44f46Ff+1X+4A//B83N\nzTe30UKIPNK3QYg1yjRNBgbyZz+cnJwsUGuEEEKI9298fJznnnuOJ/7p+/T19fPZlhgfbkii1PVf\ne1d1ipqAxV+chocfeogPffjDPPDAA7S2ti59w4UQ80hQFWINsiyLP/iDR+cF087OTo4fP87OnTsL\n1DIhhBDi3dFac/z4cZ588kkOvvIyGdOipdjiN3fE2FaaeVfv1VJk8nu7R/iHtgBP/8sTPPHEE2za\nuIEHPvog99xzD36/f4k+hRDiSmo5jVHbs2ePPnz4cKGbIcSqprXmT/7kT3j66aex3UEc6anZ5xwG\nPrebP/uz/8mmTZsK2EohhBDi2kZGRnj22Wd56sl/obevH78L9lcm+ImaFPVBa8HXPHq0iLNjrtzj\nTSUZfuvWiQWPncooXhvw8FK/j94pBz6vh/t+8oN85CMfYePGjajFlGmFEHmUUke01nsWdawEVSHW\njmg0yre+9S2eeOIJUtU7MKYGcU7Odv+1AuUYVoqAU/PF3/ltdu/eLbMfCiGEWDZs2+bIkSM8+eST\nvPbaq1iWzcYSk5+oSXBbeRr3Vcahzng3QXWG1tA24eSlXg+HhrykLWhtaeaBjz7IfffdRzAYvObr\nhRCzJKgKIXJ6e3s5ePAgr7xykDNn3kFrTbpiC6mGvfjOPZMXVM1QFcnGAwTPPwOpGIFgiAP77+TA\ngQPcdttteL3eAn4SIYQQa41t21y6dImTJ09y6tQpjh09QnRklKAb7qpM8G9qktQE7EW/33sJqnPF\nTcWPB9y81O/n0qQDj9vFLdu2sX37DrZv386WLVvweDzv6jMKsZa8m6AqpRIhVhmtNW1tbblwevFi\nZ3Z/oJR09U7M8Dpsf+Tqr/cWMbn1kzjHe8mMXeK5F17i2Wefxe32sHfv7dx1113s27ePUCh0sz6S\nEEKINcI0Tc6fP8/Jkyez4fTkCSanYgCUeGFDUYrPbk2zuzyNy3Hz2+d3au6tS3FPbYrOSYPXBzyc\nOX+Ybxw5igachsHGjRvYvmMn27ZtY9u2bXK+FOI9kqAqxCpgWRanT5/OhdPLlwez+0NVZOpvxwyv\nQ3vexYnScGFGGjEjjSRtG2Oyn/ToJQ4eOsLBgwdxGAY7d+zk7rvv4sCBA5SVlS3RJxNCCLGaJRIJ\n3nnnnVwwfeedt0ml0gBUBTS7ilJsrDfZUJyhwmcvavbem0EpaC6yaC6KA3FiGcWFcSfnxlyc7z3F\n42fP8J3vfAelFE3r1rF9Zza4bt++nfLy8kI3X4gVQbr+CrHCpFIpBgYG6O3tpb+/n/b2dg6++hqT\nE+PgMDBDNZjhBsySBrTLd8338p39wbyuv4lNH776C7TGERvCOXoJz3gXJMYB2LhpE7ffdhu1tbXU\n1NRQW1tLJBKRiSaEEELkGR8f59SpU9PB9AQXLlzAsmwU0BCy2VicYkNJNpiWeG78d9T32/V3sdIW\ndEw4OTvm4vyYi7ZJN0kz+3mqKyvYvnNXLrjW19fL+VKsGdL1V4gVTGvN+Pg4fX199Pf35wJpb28v\n3T29jI5E845XTg/pohrMll2YxfVguK7yzjeAUtjBCtLBCtJ1e3Akx3COXuJMdxfnzv1ddsaJaS63\nm+rqauqmw+tMgK2urqaqqgq327107RRCCFFQWmsGBgbo6Oigvb2d9vZ22i6cp7evHwCnA5qLTD5c\nl2ZDicn6YhO/c/kUT94vtwGbwiabwiaQwLLh0pTB+TEX58a7ef3Fyzz77LMAFBcFaV2/gZaWVlpa\nWmhubmbdunVynhRrngRVIQrANE2Ghobo7e3NC6Q9vb309fWTTMTzjleeAKY7iO0OY9c0YHuLsD0h\ntCeEdnopSF8opbB9YdK+MOmanWBbqPQUjtQkjuQE6dQk7eOTXBo6i+PQm2jLnPNSRWlpGbV1tdRO\nh9i5W1FR0c3/PEIIId6TRCJBR0fHbChta6O9vY14Ipk7psIPDYEU+5otNpZkaAqZ152hdzUxHDNd\nhS3uB7Seoj/u4NyYi/aJJN0Xxjl5/CiZ6VV1DMNBQ309La3rc+G1tbVVeiuJNUWCqhBLJB6P09fX\nl7f19vbR09vL0NBlbGvOGm8OAzyhbBgNrcMumw6i3hC2OwTGCvhVdRhobzGWtxir+IrntEaZCRzJ\nSVRqEkdqgv7UJINtfZx85zw6nR/M/YEAtdMV2CtDbHl5OYaxhr7dCCHEMjFTJW1ra5sNpRfO0zcw\nyMxQMp9TURfIsC9iUh80qQ9a1AdMvCvgNHYzKQU1AZuaQIoP1KYAsGwYSBh0T2W3rskLHHvtEs8/\n/3zudcVFQZpb1tPa2poLrw0NDTLTsFiV5M+GEO9SMplkdHSU0dFRxsbGcvdntv7+fnp6+7JjRudQ\nLi+WO4jlCWFXbEV7smHU9oTQbj+oAkxfeLMohXb5sVx+CFXOf97KZCuxqWyQTacmmBic5ELPMUi+\nAnp26QHDMKiorKK+rpaysjLC4TAlJSVEIhFKSkoIh8OEw2GKiook0AohxHsUj8fp7OycDaVtbXR0\ntOeqpAqoDGjq/Wn2NlrUB00aghZl3uUz4dFKYzigNmBRG7C4Y86pciqj6Jky6Jpy0j2VpLt9nH8+\neYz09PVuh8NBQ30dLa3rc+G1ubmZsrIyqb6KFU2CqljzbNtmYmJiwdA5s29kZIToyCjjY2OkUskF\n30c53WiXF9MVwHZXoutaseeEUZxytfOqDBe2P7LwsjnaRqVjs0E2OUFXYpK+tztwmG9nq7ELTAqn\nlCJUVES4JEwkEp4XZGcC7sx9WSNWCLEWaa0ZHBzMjiFta6OtrY32tvP09Q/mjvG5oD5gcud0lbQh\naFErVdKbJujSc8a7ZtkaBuOO6fBq0B1r4/jrXbzwwgu5Y4pCQVpas9XXlpYWWlpaaGxsxOVawrks\nhLiB5E+MWJVSqVRe8BwbG2NkZCRvX3Qkezs5MY5tL7BYuFIolw/b5cUyvGinH11SinZ5sZ0+tMuH\ndnqzty4vOOTXaUkoB9oTwvKEsBZ6Xmuw0jgyCVQmgTKTudtUJkF0PIEj2ovT6oBMAm2mF/wxHo+X\n4pISSqdD7dUqtSUlJRQVFeFwrOIKuBBiVUqlUly8eDE3udGFC+fpaG9nKpYdfqGACr+mIZDmjiaL\nhulQWipV0mXHoaA6YFMdSLN3TvU1llHTwdVJ12S2+vrEyWO5sa9Ow6ChoX568qaWXIgtKSkpzAcR\n4hrkm7VYEbTWTE5OXrXL7djYGNGREUZGRhkbHSWZTCz4PspwgduHZXixnF60qxxd2YB2edEz4XPm\nvtNTmEmKxLujFDg92E4P+BZxorVNVCaZF2odZoJ0JslUJklf7zhG1yAOM4lOJxas1jocDkJFxYTD\nYUoj+RXahYKtjB0SQtxs0Wg0F0jb29u5cP4c3T29uQuzHme2Snp7iUlDnYwlXS0CV6m+DkxXX7um\nnHRNnOetVy7y3HOzryuNhGldv56WltZceK2rq5MhNKKg5M+RKKhkMkk0GiUajTIyMpLtYjt9PxqN\nMhyNMjoyyvjEeP7kQ3Motw/t9GEanmzQLG5Cl2ZDp+3yzlY9nd6lXbpFrAwOJ9oTRHuC1z9Wa5SZ\nQpmJOeE2ez9pJhgeTdIx1I1hXYB0Am1lFnwbr89PSUkJpaURSiMRSktLKS0tJTJ9PxKJ5AKufCkQ\nQrwbpmnS3d2d7bI73X23ve08o2Oza4OW+qAhkGZHQ7ZC2hA0qfDZOORa7JrgyE3clOaOytleRRNp\nles63DWVouudKIfffBNr+vqsx+2isamJ9dPV15ktEAgU6JOItUaCqrjhZtYBXSh4ztwfGh5mJDqy\ncOVTOVBuH5bTh+30YbvK0BV10xVPb36XW6dndU9CJApLqen/c17wLeJ4K5PX9dgxHW7TZoLJVJKe\nS1GcHb2oTBydSS3w4xTFJWFKIxHKy8tyAXahYCtVWiHWrsHBQV5//XVee+1VTpw4QSaTrZ45HVAb\nsLklmKahPBtI64MWQdfqWZ9U3DhFbs0tkQy3RGYvsmZs6IsZ09VXg+7Lb/NS5wWeSs/+H2pqXMed\n+w9w5513smnTJrnAKpaMBFWxaJlMZnZioTmhc274jEajjI2OYi1Q/VROV3bmV6cX2+lHFzWhy3zY\nLv90l1v/bOVTutyKlchwoQ0X2hMCWHhM7QzbzAbaTAJHOp6t1KbjpDIJhocTtA204TATV50syuf3\nE4mUUl5Wlq3UzqnMzg22oVBIZn0UYoWzbZvz58/z2muv8fprr9Le0QlAdUBzT1WSplC2Ulrlt3DK\ntVvxPrgcsC5ksS40ewbTGkZTDrqmZx5+Z7SN7/z9Jb797W9TUlzEvjv3c+edd7Jnzx58vsVc1RVi\ncZYsqCql6oG/BaoAG/iq1vrPl+rnifdGa00ikVgweM7cHxoaJjoywtTkxILvodzZyqfl9KFdJdjl\n1dnQ6c6GT3s6hEq3WyHmcDjRnhDaE2KBqbxmaTvb/TgTR6Xj2WCbSZDOxJmIJega68N5rh3ScbRl\nznu50+WipCRMWWkpZWULdzkuLS0lHA7jdMq1SyGWi1QqxZEjR3j99dd5/bVXGRkdQynYUGzy060p\ndpWmqQ5c86+HEDeEUhDx2kS8NjvLMjzYmCCWUZyMujgWTfHy88/wzDPP4HI5ufXW3ezfv599+/ZR\nXl5e6KaLFW4pv5WYwH/WWh9VSoWAI0qpH2qt31nCnykW6e233+Yb3/wmJ46fIJ2e3wURh4FyZ6uf\nltOH9tagQy3ZcZ9u/5zqpw9k9lMhlo5yTPc48IG/9OrHaQ12BpVO4MjEp6u1cRyZBIlMnIG+cZxd\nA6hMAp2Zv8SSUopwJMLHHnyQT33qUwSDixjDK4S4oaLRKD/+8Y95/fXXOXL4LVLpDD4nbIuk2LUl\nzfbSDCHpxiuWgYBLs68qzb6qNKY9xflxJ8eG3Rw79QaHDh0CYMP6VvYfuIs777yT1tZW6d0j3rUl\nC6pa636gf/r+pFLqDFALSFAtoDNnzvD1rz/GW2+9iXJ5SYVbsN2B3Bdh7fZju/xguKX7rRAriVJg\nuNE+N5av+NrH2tZst+M5ofZyLMpjjz3GPz7+OD/92c/yqU99SibNEOImefLJJ/nKV74CZCc/uqsi\nwa1lGTaVZKQ7r1jWnA7YEjbZEjb5XGucvrjB0SEXxy6f4xuPtfHYY4+xa+cO/uefScdK8e7clH5e\nSqlGYBdw6Gb8PDHf2bNn+fpjj/HmoUPZgFq3h3TFZumOK8Ra5DByMx9f2XHQEYti9h3j61//Ov/4\n+P/Hz/z0Z/nkJz+J3+8vSFOFWCsymeyENv9h2wS3lmXkWrFYkZSC2oBFbcDio41JJtKK3z1cQjqz\n8Kz4QlzLkl+jU0oFge8B/1FrPW+Qo1Lq15RSh5VSh4eGhpa6OWvOuXPn+MIXvsBDDz3EW0dPkKrd\nzcS2T5Ou3i4hVQgxjx0oJbH+PmJbHmTcWcLXvvY1Pv2Zz/Ltb3+beDxe6OYJsWrdcccdAESThoRU\nsWpoIJp0sG/fnYVuiliBljSoKqVcZEPqt7XW31/oGK31V7XWe7TWe2TQ9Y117Ngxfv3Xf5033ngD\ngEygHGwT10gHxngvKjkB9jXnJRVCrBVag5nCERvGOXIRY3IA2x3C9gSJTU3y13/91/zH3/iNQrdS\niFWrpqaG+rpaTkTlIrJYPU5G3QDs3bu3wC0RK9FSzvqrgL8Bzmit/3Spfo64utbWVn7pl36Jvr4+\n+vr76evrJzpwEn3FUhfKE8B0BbHdQWxPMDsLqSf7WLsD4JD1sYRY8bQGK40jNYkjNYVKT+FITeFI\nT2KkYzjSU2gznfcSr9dHVU01tTU7qKqqYteuXQVqvBBrwx377uT73+vl/zkdZGs4u75luU9m9hUr\nS8JUnBl18vaoi8NDXkrDJbS2tha6WWIFWsoxqvuBfwecUkodn973W1rrHyzhzxRzhEIhfu7nfi5v\nn2maDA0NMTAwkLf1DwxMB9mOBYJsENMdyAZZtwRZIZalXBCdwpGaXHwQra6mtmYzVVVV87ZgMCiz\nNApxE33uc59jcnKSt948xJvnRgGo8Gu2lqTYGsmwJZwhKLP+imXGtKF9wsnbIy7eHnXTPuHE1uBx\nu9i+Yyef/exn5Vwi3pOlnPX3VUD+Vy4zTqeT6upqqqurF3z+hgdZlxccLplBWIj3S9soM5ldfiY9\niUpN5Sqjzkz2/oJBtKqKmppNufBZXV0tQVSIZSocDvOFL3wBrTVdXV0cOXKEw4cPc+jYUV7sS6KA\nxiKLreE0t4TTtBabuOVasbjJtIbemMHboy7eHnFxdtxD0tQ4lGLDxg187qO3sXv3brZu3Yrb7S50\nc8UKJqu7izxLEWSza7L6sA0PluFFu7xoZ/bWdvpmHzu92bUiHU4JtmL10zbKTKEyyWwAzSSyt2Yy\nt89hJjCs7DELrX3q8XqprqrOC6Jzt1AoJEFUiBVIKcW6detYt24dn/zkJzFNk7Nnz2aD61tv8cyZ\nd3jqkg+XARuLM2wNp9kaydAQtHDIr7xYAqMpxTsjLk6Punl7zMPY9Cmptqaan/rI7ezevZtdu3YR\nCoUK21CxqkhQFe/Kuwmyly9fZnR0lPHxcUZHRxkbG2NkdJTR0THGR3tIp1MLvodyOMHtwzI82M65\nIdabfezy5R5rp1dmLxbLw0zwnBM08wJoJonDTGaDp5lEpxMLvo1SikAwRDhcQiRcRUlJCeFwmOLi\nYsLhMJFIRIKoEGuM0+nklltu4ZZbbuHnf/7nicfjnDhxgsOHD3Pk8Fv8Y3sXtEPApagPZKgPZqgP\nWtQHLeoCJh6puopFsjUMJhx0TznpnjKyt3E3Q9OTvhcXhdh9Z7Ziunv3bqqqqgrbYLGqSVAVN9T1\nguxciUSCsbGxvCA7934u2I6MMj7SRSaTXvB9lOEClxfL8GI7PbkgazvnVm9nwy0O+W8vFkFrsFI4\nMnOrnIk5FdDsY+dM8Mwks69ZQDAUori4hEi4nHA4PC98lpSU5LaioiIMQ75VCiGuzu/3s2/fPvbt\n2wfA8PAwR48e5dSpU3S0t/FqRweJnuzFYAVUBjT1/vR0eDWpD1qUeW2pvq5xUxk1G0anDLpjLnpi\nBunpBSEcSlFXV8st29azceNGdu/eTUtLCw7Hkq9uKQQgQVUUkM/nw+fzLSrUaq1JJBLzguyV28jI\nKKNjo4xHxzGvsri0MlyzFVtjbqXWi57piuzyY7sDYLilG/JqYtuoTByVjuGY19U2G0Jng2fiqsHT\nHwhSUlI8HTxnQ+ZC4bOoqAinU/7UCiGWTllZGR/84Af54Ac/CIBt2wwMDNDe3k5HRwft7e20t13g\n8MWB3PAcr1NRF8hQHzBz4bU+aOF3ymRNq41pw0DcoGsmlMYMumNuRueMKCkuCtLSuoHdLS00NzfT\n0tLCunXr8Hg8hWu4WPPk25NYEZRS+P1+/H7/uwq21wq1o9PdkEdGR5gYHscyzfk/13Ch3QFMpw/t\nDmC7/dO3AbQrgHb7s92PJcwWnm1NB9DpIJqOodLZ+0YmjmHG0anYgi/1+f3ZoFkdIXJFhfPK8Flc\nXCzBUwixrDkcDmpqaqipqeGuu+7K7U8kEly8eHFOgG3jrbY2XuyL544p80F9ID0dYLMV2Cq/VF9X\nAq1hPK1mw+iUk+6Yi96YA2t6lSOnYbBuXQO37V6fC6TNzc1EIhEZSiKWHfm2JValucG2trb2usdr\nrYnFYrkAG41GGRoaym2Dly9zefAyI4Md2PYVa9o5jOxatE4/9nQlVruzIdZ2Td93+STMvh+WicrE\ncKTnhNBMNog6M9lwutCYT5/fT1l5OVUVjZSXl+dtkUgkF0JdLhnnLIRY/Xw+H5s3b2bz5s25fVpr\nhoaG5lVfT3T35s53LgPqAhYNgQzrQtkA2xC08En1tWAsG/qnq6RdU066Jg264m4m5kz/URoJ07J5\nPfvnVEnr6+vlnCdWDAmqQpANtsFgkGAwSF1d3VWPsyyLsbGxvBA7s12+fJnBwctEh7swr6zOKsd0\nmPVNh9fZQJutzvrRbj+oNTjuw8pMVz9j8yqihhnHkY4vOONtMBSivLycyor180LozOb3+wvwgYQQ\nYuVQSlFRUUFFRUVuzCtAKpWiq6srG1zb22lra+PohfO83D/bM6XCDw2BFA1Bi4agSUPIotRjy3XZ\nGyxuZseSXprMjiXtirn+f/buPDrq+773//M7u0aa0S7QyiokQAKBxG5jJ7FjJ3Uc38RO4iw3yUma\ne3vtOk3TZmvTNL2p++tNm9s4ceve3pvcJCdp6iT2TRw7i7ENxgYMAgkkgQCxaBfa0D779/v7Y2BA\nBgzYiNHyepwzB2vmOzPv8QF95/V9fxY6xuxEzl03dzrsLFy4kC0bl7F48WKWLl3KokWLyMjISG7h\nIm+RgqrIdbDb7WRnZ5OdnU15efllj7Esi+Hh4SuG2Z7eXvr7OomEX7c4lGFguLzEnF5izos6sh4/\nsbRcLOcMDV2WiW1iEPvEwIUwGp7AEY0H0tfv/QngT08nNzeP+fMWXDaA5uTk4PF4kvBhRETmBrfb\nTWlpKaWlpYn7zndfW1paEuG15fgxak91J45JdRmUeMMUp0VZ4IsH2ILUGM45eB32elkW9AdtF3VJ\nHbRdtOIuxOeSLi1dxrolS1m6NH4rKSnRlBSZlfS3WuQGMwwjMb/x4hP8xSzLYmxs7Mqd2d5e+vpO\nEwxcdHby+Ih4c4il5RFLzcP0ZoFt+q0Oa0QC2Md6sY314hjvwzHRjxWLd5gNwyAjM5O8gjzm5S25\nbAjNzs7WBuEiItPQxd3XzZs3J+6fmJhIDBuOh9fj7Dh5glBHfFFDuwEFaSYlqZF45/Vc99XnnLtD\nhyMmdI5f6JK2jjlpH3cyEYn/PzEMg8KCfCoqy1iyZEkilGZnZ2suqcwZCqoiSWAYBj6fD5/Px+LF\ni6943Pj4OKdPn6apqYmmpiYaGpsYbDsVfw2bg2hqNrHUXGKpecTS8uLDh28m08QWGMQ+1ot9rBfn\nRD8ER4B493np0lIqKrawYsUKli9fTl5enq76iojMMl6vN7HP63mxWIyOjo5EeD1xooXmY8d4tWco\ncUye12J5eojlmRGWZ0bIdM/e4BqKwfFhJ0fOOjgy5OLUiIPYuY/rdrtYsngJd5SWJkLp4sWLSUlJ\nSW7RIkmmb4wi01hqaiorV65k5cqVift6e3s5fPgwhw8fpqGxkWPHmon1NAJgeHyEvTnngmsupjf7\nhnZdjcjEuW5pH47xXhwTA4luaWZWFpXrq1i5ciUrVqxg2bJlWtZeRGSOstvtLFiwgAULFvD2t789\ncf/Zs2c5ceIEx48fp6Ghgdr6OnZ0xxfDm586Obimu2ZucA3H4MSIgyNnnRwecnFixEHMjK/IXF62\njA+8ew1ZWDf4AAAgAElEQVTLli1j6dKlFBQUaP9skctQUBWZYc4Pu7r99tsBCIfDtLS00NTUlAiv\n/e3xris2O6Y3m2hqHuF5y7Hcvut7M8vCMXgKx1DruW7pKBD/AlJaWkpFxa2JYJqXl6fhSCIi8oYy\nMzOpqamhpqaGBx98kFgsRktLC3V1ddTV1fHaoYO81BVfQK8wzWR5epjlmRHKMyL4pnFwjZoXgumR\ns05aRpxETLAZBqWlS3ng7mrWrFlDZWWlFvoTuUYKqiIznMvlYsWKFaxYsSJxX39/fyK4NjY20Xy0\nGXd/M4HCaiJ5K65pqxwjNEZK66vYhzvJys6mcsPaRHd36dKl6paKiMhbZrfbKSsro6ysjA996ENE\no1GOHTuWCK47Gw6xrTO+6F6xz0x0XMszoqQmcY5r1IRTo+eC6ZCT48NOwrH41J4lixdx350XgqnP\nd50XiUUEUFAVmZVycnK47bbbuO222wA4c+YM//AP/8i+fa/hOnuKwIJbMFOusGy9ZeHsPUJK535c\nDjv/9bOf5b3vfS82m5ZsFBGRqeVwOBIXXz/ykY8QiURobm5OBNftjY38viOCYcDqrDB3FQdYkRm9\naVvi9AVsbOvwsKMnhYn4WlEsWriAe26PB9PVq1fj9/tvTjEis5xhWdNnGEVNTY1VW1ub7DJEZiXL\nsvj973/PY499h4lAgGBBFfahDhxjZxLHxFJzMGwObKM9VNfU8Od/9mfMnz8/iVWLiIhcEA6HOXz4\nMHv37uW5Xz/D0MgoRWkm7yyaYPO8EK6rTPV89ICf5iFn4ufyjAhfWTvyhs+xLDg27OB37R7297sx\nDBtbt27l9ttvZ/Xq1WRmZt6IjyYyJxiGsd+yrJprOlZBVWRuGRgY4J++/W12vvwyls2BYUYnPe5N\nTeWPH36Yu+++W3NORURk2gqFQrz44ov8/GdPcuLkKdJc8Lb8Cd5RFCLLbV72OdcTVCMmvHbGxe86\nUmkdteFLS+U9976X++67j7y8vCn5TCKznYKqiFzV9u3b+eu//utJ93m9Xn70ox+RnZ2dnKJERESu\nk2VZ1NfX84uf/5xXd72KDViXF+KuoiBL0idfjL2WoDocNnix08OLXV6GQ7CgpJj7H/gAd955Jx6P\n52Z8JJFZ63qCquaoisxRt99+O2lpaYyNjSXumz9/vkKqiIjMKIZhsGbNGtasWUNXVxdPP/00z/76\nGfbsd7MxL8QfrhjDeY3LLLza4+J7zT4iJmzcuIH773+A6upqjTASSQIFVZE5LCsra1JQ1cqEIiIy\nkxUUFPDQQw/xyU9+kv/4j//gBz/4AaNRG49UjJBylW+9v23z8JOWVNZUreZPP/9nFBcX35yiReSy\ntIynyByWnp6e7BJERERuOK/Xyyc/+Um+9KUvcWTIzd/XZzAavnxX1LLgZydS+ElLKlu33srf/49v\nKqSKTAPqqIrMYdpyRkREZrO7774bv9/PX3/ta3yjzobXPnnOqmXB95pT2dHt4Z577uFzn/scdvtV\nlg4WkZtC31JFREREZNbavHkz//CP/8iI5aVtbHKPpi9oY0e3h4997GN8/vOfV0gVmUYUVEVERERk\nVlu1ahV/+dW/ImJOHv57NmTnjjvu4FOf+pQWTBKZZhRURURERGTW27BhAy6Xa9J9FvDAAw8kpyAR\neUMKqiIiIiIy69lsNnJycibd5/WmUFZWlqSKROSNKKiKiIiIyJyQlZU16eecnNwkVSIiV6OgKiIi\nIiJzwusXS9L+4SLTl4KqiIiIiMxJDod2ahSZrhRURUREREREZFpRUBUREREREZFpRUFVRERERERE\nphUFVREREREREZlWFFRFRERERERkWlFQFRERERERkWlFQVVERERERESmFQVVERERERERmVYUVEVE\nRERkTopGo8kuQUSuQEFVREREROakQCCQ7BJE5AoUVEVERERkThgeHp7088DAQJIqEZGrUVAVERER\nkTmht7d30s/Dw8N0d3cnqRoReSMKqiIiIiIy6zU3NzMxMXHJ/U8//XQSqhGRq1FQFREREZFZbWJi\ngse/+91Lvvj6nCbP/OqXNDc3J6UuEbkyBVURERERmbVGRkb4/J9+jqamRuZ5J6/ym5cSI80W5HN/\n8lnq6uqSVKGIXI6CqoiIiIjMSgMDA/zJI49w/NhR/rhihHSXNelxpw3+Ys0QWY4AX/zCF9i9e3eS\nKhWR11NQFZnDxsbGkl2CiIjIlOjp6eGRP36Yzo5W/nTVCNW5kcsel+U2+UrVEIUpQf7yL/+CF154\n4SZXKiKXo6AqMoedPXt20s+hUChJlYiIiNwYo6Oj/PCHP+QPP/0pzvZ184XVQ1RkXT6knudzWXyp\napilvjDf+MZ/5+tf/zotLS03qWIRuRxHsgsQkeQYHh5maGho0n39/f1JqkZEROStGRgY4Mknn+RX\nv/x/BIIhqnLCfHDlBIWpsWt6forD4s9XD/P0KS8v7tzOSy+9xIYN6/nIRz7KqlWrprh6EXk9BVWR\nOejQoUN8/et/g2mak+7v7+/n7/7u7/jsZz+L1+tNUnUiIiLXrrOzk5/+9Kf89jfPEY3F2JAX4p5V\nAUrSri2gXsxlhw8uneCeBQG2dXj4fd1eHnltL6sqK/jIRz/G+vXrMQxjCj6FiLyegqrIHBKLxfjx\nj3/M97//fSy3j5g3G/vEQOJx05XK7373OxoaG/n6X/81paWlSaxWRETkyk6cOMGPf/xjtr/0EjbD\n4tb5Qd5dEmCe17z6k68i1Wnx3kUB7i4JsKPLw3PHG/niF7/I0iWL+fBHPsptt92G3W6/AZ9CRK5E\nQVVkjujv7+e/f+MbHKyvJ5K1mODCzaQc3zbpGNPtI7hoK92nX+aP/ui/8dBD/4377rtPV49FRCTp\nYrEYzc3N7N69m927XuXEyVN4HAZ3FU9wd3GATLd19Re5Tm47vLM4yNsLg+zqcfNs+wn+5m/+hox0\nP5s2b2Hjxo3U1NSQmpp6w99bZK5TUBWZxaLRKM3Nzezbt4+nnnqasYkJAotuJZq9FK4QPmP+fEaX\n34vn1E6+/e1v88orr3DHHXdQXV1NXl7eTf4EIiIyl42OjlJbW8uePXvYs3sXwyOj2AwoTY/yoaUh\ntuaHSHPe+ID6eg4bbC0IcUt+iAP9LvaeCbFj22/4zW9+g8NuZ9XqVWzatJlNmzZRVFQ05fWIzAUK\nqiKzTHd3N3v37qW2tpba2v0EAhNgGJi+eQSW34GZknHV17CcKQRK78R55jAHGhrYv38/ACULFrBh\n/XpqampYvXo1Ho9nqj+OiIjMIZZl0dbWxp49e9i9axcNjQ3EYiZpLliVGaKqOExlVoTUmxBOL8dm\nQE1umJrcMDFzjOPDDg4OuKg/tp/HD9Tx+OOPU1RYwKbNW9i0aROVlZU4nc6k1Coy0xmWlZx/6JdT\nU1Nj1dbWJrsMkRllfHyc+vp69u3bx2uv7aW7uyv+gDuNsL+AmL+IqD8fHO5LnpvS/ByO0Z7Ez1Hf\nfALl7558kGVhC5zFPtKJc7gT+9gZMGM4HE5WrVrF+vXrqKmpYcmSJRoiLCIi1y0cDnPo0KHEkN6u\n7vh5qdhnUpUVpConwhJ/FNsNOMU8esBP89CF4FieEeEra0fe+gsDfQEb9QMuDvY7OTzkImqCN8XD\nuvUb2LRpExs2bCAzM/OGvJfITGUYxn7Lsmqu5Vh1VEVmmFgsxvHjx9m7dy979+3j8OHDmLEYht1J\nJG0+0ZKNRNMLsdz+Kw7vvS6GgenNwvRmEZlfCWYU++gZHMMd7G8+xYED8W5rekYmG86F1pqaGrKy\nst76e4uIyKwzOjrK4cOHaWho4NChgzQfaSYcieC0w4qMMO8sC7MqO0KO560vinQz5aaY3FkU5M6i\nIKEYNA06qR8IcvC1HezYsQOABSXFrFpdRUVFBZWVleTn5+sir8gVKKiKTFOmadLb20t7e/uk25Hm\no4yPjcaPSc0hkreSmL+QWFoe2G7CCoQ2B7H0QmLphYQAIzyBfaSTyHAnz7+0k9///vcALFi4kMWL\nFlFSUkJRURHFxcUUFxdrwQkRkTnEsizOnDlDY2MjDQ0NNBys51RrG5ZlYTdggS/G2+aHWZEZYUVm\nBPcsWUjXbYe1uRHW5kawrHFax+w0DDg5NnyCF37bzjPPPANAdmYGFatWU1lZSWVlJUuWLMHh0Ndz\nEVBQFUm60dHRS8Joa2sbnZ2dRCLhxHGGw0XM7SeWMp9o3lpi/gIsZ0oSK4+zXF6iOaVEc0oJWha2\niQEcw52cOHuG1jP7Yft2uGiKQXpGJgsWlFByLriev+Xn5+vkLCIyw8ViMU6ePElDQ0M8nB6sp29g\nEIAUh8FSf4j/tDDKsoz4cN7ZEkzfiGHAQl+Mhb4YEMS0oGvczrFhB8eGQjTtvdBx9bhdrFi5ksrK\nVVRWVrJixQrtay5zlr4VitwEkUiErq6uSWG0ra2N1rZ2RkeGLxxoGODxE3X5MbNKMT3piZvlTLkx\nQ3mnkmFgpuYQTs25cJ8ZwxYawRYcxhYcpj84wuCJbhqOHMMKBxKH2ex28vPzWVBSMinAFhcXk5mZ\nqaFRIiLTUCAQoLm5+dww3kMcbmpkIhAEINMDZf4Qdy+Lsiw9QnFa7IbMM53pbAYUpcUoSovx9sIQ\nMMZg0BYPrsMOjh/fzw/r6rAssBkGS5YsoXLVqkTXNScn56rvITIbKKiK3CCWZTEwMHDZMNp7pgfT\nvDDXxnB5ibp9xNzzMIuWXQij7rSbM3z3ZrLZMVMyMVMus4BENJQIsLbgMKfHh+msb4Y9r4EZSxyW\n4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6fuwH5eO3oWgIxzwbU8M8LyjLnVcR2LGDQPOWk+6+DIRcHU7XZRWVHJXWvWsGrVKsrK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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2454f4e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl.figure(figsize=(16,8))\n",
    "sns.violinplot(x='click',y='hour',data=train_df)\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上图可以分析出广告被点击的数量与时间有关；在0-4小时的时候成正相关超过之后就没有人了；可能那个时候人都睡觉了"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 分析C1与click的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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yAAAADEIyAAAADEIyAAAADEIyAAAADEIyAAAADEIyAAAADEIyAAAADEIyAAAADEIyAAAA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\nQjIAAAAMQjIAAAAM/z9JI/VT/KXD6AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe3765c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl.figure(figsize=(16,8))\n",
    "sns.countplot(x='C1',hue='click',data=train_df)\n",
    "pl.xlabel('C1 type')\n",
    "pl.ylabel(\"number of C1\")\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 上图表示为C1中不同类型中 广告点击与未点击的统计情况；由上图可以看出广告在C1值为1005的时候广告被点击的情况特别多"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 查看广告位置与广告被点击数量的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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R5IXD9nnTKgoAAABmZdJnlPfo7jeN9v+gql4wjYIAAABgliadUb6sqo6tqocMn99M8uFp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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x828f9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl.figure(figsize=(16,8))\n",
    "sns.countplot(x='banner_pos',hue='click',data=train_df)\n",
    "pl.xlabel('banner_pos type')\n",
    "pl.ylabel(\"number of banner_pos\")\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 可以看到广告处于0 和1 上位置的时候，更容易被点击"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "85f751fd    332893\n",
       "1fbe01fe    232096\n",
       "d9750ee7     38603\n",
       "e151e245     32359\n",
       "5b08c53b     16455\n",
       "543a539e     16355\n",
       "5b4d2eda     16064\n",
       "856e6d3f     13231\n",
       "43d6df75      9924\n",
       "5ee41ff2      9011\n",
       "f282ab5a      7526\n",
       "6399eda6      7437\n",
       "17caea14      6249\n",
       "6256f5b4      6109\n",
       "0a742914      5894\n",
       "030440fe      5682\n",
       "bb4524e7      5094\n",
       "78d60190      4908\n",
       "84c7ba46      4832\n",
       "d6137915      4804\n",
       "c21df24f      4791\n",
       "5114c672      4791\n",
       "b7e9786d      4503\n",
       "57fe1b20      4383\n",
       "e8f79e60      4111\n",
       "83a0ad1a      3997\n",
       "9b971c93      3908\n",
       "fe8cc448      3784\n",
       "93eaba74      3733\n",
       "cd58172f      3704\n",
       "             ...  \n",
       "e3088707         1\n",
       "ca63a68d         1\n",
       "fded1086         1\n",
       "9853a212         1\n",
       "802ba066         1\n",
       "d77d8efd         1\n",
       "3f7c99d7         1\n",
       "af62ef47         1\n",
       "4110af2f         1\n",
       "08776f87         1\n",
       "3d623d34         1\n",
       "8ba29df2         1\n",
       "ac195635         1\n",
       "b352d9e2         1\n",
       "a7041082         1\n",
       "d7d3e3c5         1\n",
       "ed0b2078         1\n",
       "79269cff         1\n",
       "2bc0c8c5         1\n",
       "881897fe         1\n",
       "f41cb38d         1\n",
       "cbfa83aa         1\n",
       "46464be7         1\n",
       "6ee33876         1\n",
       "1a16cffa         1\n",
       "a6d1d156         1\n",
       "e211b8f9         1\n",
       "0c6adf5c         1\n",
       "be255eb1         1\n",
       "956284e6         1\n",
       "Name: site_id, Length: 2075, dtype: int64"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "site_id = train_df['site_id'].value_counts()\n",
    "site_id"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 分析站点ID的时候发现其中有些ID的的数量比较多，有些则非常少只有1 ，那么就是可能那些排名靠前的站点里面的广告更容易被点击，到时候做特征工程时可以将少的分为一类 多的分为一类"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 查看C14-C21与click 的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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bjBHTFOoqNTDapnG1y4IctRyVhdxzYGWhEinSZBy8ZXNYngGLkGWYpbIwunN8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\nUoQdtRWzHvY2s675xsZw/y2V8PiA5376Z3h8wP23VMI3Phb1vxFYgJ0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Qkg7viCaiqPU4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cGcsQ5rShfLnDqSGyeiQ6hvHcLRU0M43TeKqtIcZBgNONDUB6/Xh6npGTS22TXdeBCJaWl3\nYHN1ISbdHthHJlBTkYcMowEtpx2sE5RQjDUiouTjxJN2HD3lmJsI8JuansHR9tTuR8PFeGObXfC4\npdr5Hyfkk491VluOnLQLnsscOanttiQwjnW6NGytKcKk24Pfv3YCJUssWFeRr+n8U2iciBZxqG1h\np2tK12NrTRH2N/YCALoHXPyJEqUcq9WI7Mx0vPZe14L6cemmYtYJShir1YhMkwFvNHQz1oiIkoQT\nT9phtRpxus8JADCl65FjNWHEOYWp6Rmc7nWmbD8aLsatViO6B1yCn02187/GNjsAYEle1lzspOKE\nfLKwzmqL1WqEJdOYcucywXF88XnL8NYHPfPv8j86wHFFCuNEtIBX3z2Nw63CV8En3R6Y0vWYmp5B\n2RKLJhsOolDeP27HGdeUYP1wjrE+UGI5x9zCsTbOWCMikgLvBNWWIls2SgotC+7Gm/F65U6abMLF\nuNPpRnGhGZ0Dows+W1xoTpnzP6vVCGuWETUVefNi50BTX8pNyCcT66y2OMdT81zGH8czM17R8zmO\nK1IXJ6KD1LcO4ZX97aLv20cm5q5M1lSy0lBqCVc/uu3Cd48QxUosproHGWtERInGO0G1xel0o3p5\nLn776vEFd+Pdun1VSpZlpDFeW2lDQ8vgvMkTU7oetZW2ZCVVdq819Areybm1pgg++FIyfqTGOqs9\nou2Nhs9lAuM4x2qC0aAX3I7jitSlkzsBStPYZsfA8DhsOZmC7xflZ2P5Eit27liL81dyIppSS7j6\nsbzIyo6EEsbpdKOkwCz4XklB6tyRRESULP47QYWk0p2gWnKq56zgnWgne87KlCJ5RRrjdVX52Llj\nLS6oLUJpoQUX1BZhZ4r9jPzDE8J3jk+5PdhaUyRTqrSPdVY7QrY3Gj+X8cfxiHNKdO6A44rUxTui\nA/ivkE9NzyDDaJhbgsPPlK7H6rIcFOZkYnUJn/RJqSWS+lFZvIhXNSlhrFYjLFlGwVizZBkZa0RE\nEuCdoNphtRpxutcp+F4qrzcbaYzXVeXPrRmdascp1J3jg2cmsLWmIOWOSTKwzmqL1WrE8iVWwfZm\n+RKrZsszMI5DzR1wXJG6OBEdIHA9sANNfXNP9rSPTKC40IzNqwuxoTxX7mQSySJc/VhdmoMT3SNw\nOpfInVTSCKfTjdEJ97wnTdtyMpFhNGB0wq3JgRsRkdzqqvKBHWvR2GZH94ALxYVm1FbaUupOUK3g\nWsfCoo3xVDxOIWNH43dyyol1VlucTjc6B53YcVE5eu0udA+6UFxgxlKbGZ2DTs2WZ3AcB88dlCyx\nYF1FPscVKYwT0UECr5Dvb+yFKV2PwtwsbFxVwEloSnli9WPFEit+8+px7NyxVu4kksasq7Bh70vN\nAIAcqwlNJx0AwFgjIpKQ/05Qm80Cu33hhAipB+9wF5bKdztHirEjDx53bakpnz2XMabrsLzIiiMn\nh9BwbFDz5zKBcez1+rC/sReWrHT8/Q3rsWqZVe7kkcw0MRHt9Xrx8MMP4/jx4zAajdi9ezfKyspi\n2pfYFfKNFXkJTjXROYmMYSn568eRk3Z09c/Wj+VLrOgYdKbcunl0jpTxG9wmb6ou4J15lHBqaYOJ\nxDCGSYwa7nCXM345CS1ODbGjFMmYj+BxV6fg8lxXma/I8kx0OywWx5yEJkAjE9F//etf4Xa78bvf\n/Q6HDx/G448/jqeffjrm/V1z4QpeIaekSnQMSyn4DhLWE5I6fnnXEklNTW0wkRDGMIWi9DvcGb/K\nxTFYZBIdw0qvsxQdNZSnFO0w2w8So5M7AYnQ0NCAiy66CACwYcMGNDU1JWS/rCyULFLFsJT89YP1\nhJIVv4w1kooa22CiQIxhUjPGr/JxDBYaY5jUTsoYZvtBwTRxR7TL5YLZbJ77W6/Xw+PxwGAQzl5O\nThYMBn3IfdpsloSmUUm0mjc150uKGNYSNZdtIig9/9HGLxA+hpWe50RhPpUhEW1wIvK44//8IeJt\nX/q/18X9fcGUXk5yU/LxkXIcodR8KzVdANMWLZ7LSYPHIHlSsQ1ONOZTXrHEMKDc/CQL8x9b/jUx\nEW02mzE2Njb3t9frDTkBMjIyHnJ/Sv7JRLy0mrdE5kuOxiTRMawlWo3ZSMWS/2THcLTxC4SO4VQp\nc+ZTfPtki7cNlqMsE/19qRKP8Yj0+KgxhsUoNS6Umi5AG2lT+jgilc/lIpXKx4BtsPownwu3S7ZY\nYjhVyk0M8y+e/3AxrImlOTZu3Ii33noLAHD48GFUVVXJnCKi6DCGSc0Yv6R2jGFSO8YwqRnjl9SO\nMUxqxximZNLEHdFXXHEF9u/fj5tvvhk+nw+PPvqo3EkiigpjmNSM8Utqp8YYvuPx16Pa/ucPXCZR\nSkgJ1BjDRH6MX1I7xjCpHWOYkinN5/P55E4EEREREREREREREWmXJpbmICIiIiIiIiIiIiLl4kQ0\nEREREREREREREUmKE9FEREREREREREREJClORBMRERERERERERGRpDgRTURERERERERERESS4kQ0\nEREREREREREREUnKIHcClMTr9eLhhx/G8ePHYTQasXv3bpSVlcmdrJA+/PBDPPHEE3j22WfR0dGB\nBx54AGlpaVi5ciW+973vQafT4cknn8Sbb74Jg8GABx98ELW1tVFtm2zT09N48MEH0dPTA7fbja9+\n9auorKzURN5I2Kc//WlYLBYAQHFxMW666SY88sgj0Ov12LZtG77+9a+rsn6Gk+j6q3ZaLGOtx3aq\nx7Bayk7N5STVmIDEqSGuA2NaKYRi9ROf+ITcyQIAzMzM4J/+6Z/Q3t4OvV6Pxx57DKWlpXInK+HU\nELuJoOY2ncLTQhzHM/49fPiw4sfKyZiDUXJ9VVp5SC3W8la7eMfgIflozquvvuq7//77fT6fz/fB\nBx/47r77bplTFNozzzzju/baa32f+cxnfD6fz/eVr3zF9+677/p8Pp/voYce8u3bt8/X1NTku+22\n23xer9fX09Pju/7666PeNtmee+453+7du30+n883PDzs+/jHP66ZvNFCk5OTvuuuu27ea5/61Kd8\nHR0dPq/X6/vSl77ka2pqUl39DCfR9VcLtFbGWo9txrA6Ylbt5STFmIBCU3pcB8e0UgjFqlL85S9/\n8T3wwAM+n8/ne/fddxVXpomi9NhNBLW36RSe2uM43vGv0sfKyZqDUXJ9VVJ5SC2e8la7eMfgoSjj\nkopCNDQ04KKLLgIAbNiwAU1NTTKnKLTS0lLs2bNn7u/m5mbU1dUBAC6++GK88847aGhowLZt25CW\nloalS5diZmYGw8PDUW2bbFdddRXuvffeub/1er1m8kYLHTt2DBMTE7jjjjtw++2347333oPb7UZp\naSnS0tKwbds2HDhwQHX1M5xE118t0FoZaz22GcPqiFm1l5MUYwIKTelxHRzTSiEUq0px+eWX4wc/\n+AEAoLe3F/n5+TKnSBpKj91EUHubTuGpPY7jGf+6XC7Fj5WTNQej5PqqpPKQWjzlrXbxjsFD4UR0\nAJfLBbPZPPe3Xq+Hx+ORMUWhbd++HQbDudVVfD4f0tLSAADZ2dkYHR1dkCf/69Fsm2zZ2dkwm81w\nuVz4xje+gW9+85uayRstlJGRgTvvvBP//u//ju9///vYtWsXMjMz594XK0Ol189wEl1/tUBrZaz1\n2GYMqyNm1V5OUowJKDSlx3VwTCuFUKwqicFgwP33348f/OAH2L59u9zJkYTSYzcR1N6mU3hqj+N4\nxr9isaukY5KsORgl11cllYfU4ilvtYt3DB4KJ6IDmM1mjI2Nzf3t9XoVOdAVE7hm0NjYGKxW64I8\njY2NwWKxRLWtHPr6+nD77bfjuuuuw44dOzSVN5pvxYoV+NSnPoW0tDSsWLECFosFZ86cmXtfrAzV\nVj/DiTfGtUBrZZxqsZ2KMazGslNjOSV6TEChqTGulSI4VpXmhz/8IV599VU89NBDGB8flzs5CZeK\nscv2UHvUHsfxjH+FYlfpY2Wp5imUXF+VXB5SS7W5pnjG4KFwIjrAxo0b8dZbbwEADh8+jKqqKplT\nFJ01a9bg4MGDAIC33noLmzdvxsaNG/H222/D6/Wit7cXXq8Xubm5UW2bbENDQ7jjjjvwne98Bzfe\neKOm8kYLPffcc3j88ccBAAMDA5iYmEBWVhY6Ozvh8/nw9ttvz5WhmutnOPHGuBZorYxTLbZTMYbV\nWHZqKycpxgQUmhrjWgmEYlUpXnjhBfz0pz8FAGRmZiItLU1RS4ckSirGLttD7VF7HMcz/jWbzUhP\nT1fVWFmqeQol11cll4fUUmmuKd4xeChpPp/PJ3kOVML/9M/W1lb4fD48+uijqKiokDtZIXV3d+Pb\n3/42fv/736O9vR0PPfQQpqenUV5ejt27d0Ov12PPnj1466234PV6sWvXLmzevDmqbZNt9+7d+NOf\n/oTy8vK51/7xH/8Ru3fvVn3eaCG3241du3aht7cXaWlpuO+++6DT6fDoo49iZmYG27Ztw7e+9S1V\n1s9wEl1/1U5rZZwKsZ3qMayWslNzOUk1JiBxaojrwJhWCqFY/dnPfoaMjAwZUzVrfHwcu3btwtDQ\nEDweD+666y5cfvnlcicr4dQQu4mg5jadwlN7HMc7/j18+LDix8rJmINRcn1VWnlILdbyVrt4x+Ch\ncCKaiIiIiIiIiIiIiCTFpTmIiIiIiIiIiIiISFKciCYiIiIiIiIiIiIiSXEimoiIiIiIiIiIiIgk\nxYloIiIiIiIiIiIiIpIUJ6KJiIiIiIiIiIiISFKciCYiIiIiIiIiIiIiSXEimoiIiIiIiIiIiIgk\nxYloIiIiIiIiIiIiIpIUJ6KJiIiIiIiIiIiISFKciCYiIiIiIiIiIiIiSXEimoiIiIiIiIiIiIgk\nxYloIiIiIiIiIiIiIpIUJ6KJiIiIiIiIiIiISFKciCYiIiIiIiIiIiIiSXEimoiIiIiIiIiIiIgk\nxYloIiIiIiIiIiIiIpIUJ6KJiIiIiIiIiIiISFKciCYiIiIiIiIiIiIiSRnkToAc7PbRkO/n5GRh\nZGQ8SalJLq3mLZH5stksCdmPlMLFsJZoNWYjFUv+1R7DqVLmzKcwNcavFsqSeUgcNcawGKUc02BK\nTRegjbQpPYZT+VwuUql8DJQev4D62+BEYz7nU0sMp0q5iWH+xfMfLoZ5R7QAg0EvdxIko9W8aTVf\nxLJNxfynSp6ZT+3QQh6ZBxKi1GOq1HQBTJsSpEo+Q+Ex0IZUKUfmU520lp9oMf+x558T0URERERE\nREREREQkKU5EExEREREREREREZGkOBFNRERERERERERERJLiRDQRERERERERERERSUoVE9EzMzPY\ntWsXbr75Znzuc59DZ2fnvPdff/113HDDDbjpppvw+9//PmHfa7UaF/wd/JpU3yX0ulB6Av/fYNDN\n+1vov+DPZWQYQn5/uPcCt8nMTBd9L1RaAv/T6dJgtRphNOoXHO/gbS2W0PsS+5wc5IrhwJiIRDTH\nRyieEkWnS0v4PqMhV5woldzxKxZriSyncPtKZEwyvpJPCeOIePqgUGMBse1CfU6sTxT7OzMzHZmZ\n6YL1INp+I9z2wX16qLSH6/fFvj94DBHNf3KQK36JEkXONjhcmxlJmxTvPuIV6blYvPsI93mpvyPS\ndMiB7TCpmdzjYLExWbT7imWuItL0RJKueMa8Wm4fY2GQOwGReOONNwAA//mf/4mDBw/isccew9NP\nPw0AmJ6exmOPPYbnnnsOmZmZuOWWW3DppZfCZrPF/H0v729HY5sd3QMuFBeasaHSBsfoBNp7R9E/\nNIayIgvWluejrio/7rzVtw7N+67aShvqqvIFXs/Du+93I3tRJtZV2HCs3Y5M0wTKlhajsc0xbzuz\nDzh42oGVy3JwrHNkwXvTacCEF2g6de5z1iwjRifcWFdhm8uXWNpCpX9dRR4y0nRYX5WPw61DcHu9\nSIcXJp0OLmBBWgeGXchblI2j7cPzXs8AUN/mQO/gGDavKcDQmQl4p8ewZuXC/B7rdOBUtwvFBefy\nUVZoRZ/DhU0lWXDpTAuPEXRYk4Dyi1SyY7ipYwQHmwfQNTCKkkILtqwtRE1Zjuj2kZR14LZ2lx02\nc17QcRX/TKQ6B1040NyPYx1nsLpsMbauXQKbzRLXPqMRzXFIJcmO378d7oH3bC9chlyYPQ64DAtj\nzeyx4/cH4y+ncGUuFJOlBWZJvoukk+wYDizrsiILKooXo+X0MPrs0Y0h/Pvpt4/j4k3L0DqvTxfu\nr6/YYka6wbZgDGH2dMNlKEbzqWF09I1iSX42ypZYULDIhEzo0HKgBUeOufDZLWa4BD/vgFOXBwOA\ngtws9J+ZjDiej7YOwQVvyD6jvnUIZo99rr6XFE4gx3Kuzy9ZMjvGCO7PT3QP40THbH5KC82wLc5A\n40kHuvpnt1lfaUMagP5ROwosCz9/rNOBU12z5VSUn436pgEU5GVhxVILciwmtPc5sKIo8f1dNJId\nv0SJJve53JoVecjWz56fAJG3SQvawYDzh0j2Ea9YzsXC5yO6NNa3DqH51NBcv7G8yIJCaybOS+B3\nRJoOOcdQco4jOGZUP7nLU474bemwY3VJHo4EzDldUGn7aE4o8mPR3DqEsSjaWqFjbQbQHmb+IlQZ\nBb63YpkZ1cuDx8nnthXuG/Lg9nTj2OlMTbaPsdA//PDDD8udiHDKy8txySWXQKfT4b333sPZs2dx\n2WWXAQBOnDiB5uZmfPazn4Ver8fJkyfh8/mwcuVK0f2Nj7tF36tvHcLel5pxus+Js2NudA240Ng2\nhEXZRrxzpA9nx9zo7B/FkbYhFOSbsSwvK+Z8CX2Xf78LX3dgxyUVGByexCv723Gyx4nL6yqx96WW\nBdutXWWDNSsD/7HvuOB7UzPAr16Z/7muAReW5pvxyv52FOSb0eMYF02bP89C6W866cDalfnoHZ7A\n2JQHznE3TJnpcAOCad22YRl++fKxBa/XVNnwwv+ewtryPLzZ0I2TPWfxyW3C+b10UyneaOiel4/X\n3uvChqoCGDJNIscoHz2OCcHyy842xVymYpIZw00dI/jX5xrRPpfnUbx/3I7lyxahYHHmgu1DxWHw\n8fFve+G6UoHjGl+d6Bx04bFnG3C881kbmV8AACAASURBVAzOuqZwsucsDjT1o6YiD9lGfUz7jEY0\nxyGZsrNNIctb7DOJlOj4BcRjuKljBHt+/yHWVs/GmP/f4HJZW12K1w51x1VO4cpcLCZrK/OxKDu6\nK85Kja9kiDaG1dgGB+YxuKw7+0fR0j6M4gILmk45Ih5DBO7nE3WleP71NsH4Ce6vt6xdjr0vHV3Y\n71VXYO9LLTjVO/t6j92Fk91nkZ6ux6KcDCzKysJrh7pRK/r5Uvzijy2oWWnDuHtaYBvxfsMNb8g+\nw5/XwPp+0Yb5fX5poRWv7D+9IF2XbS7F64e65/JjTNfD50tD0ykHugZcyDLp8dLb7dgm2G+dG0N0\n9o+iressVi/PxbtNfcizZuCPb5/GpZui7+/U3AYHi6UPSgalpgvQRtqUHsPRnss1n3Jg5fJcDJyd\nRI9jPOI2Sez8IZJ9xCuScUOobapKc/Dm4d64xh7+/Qf2G21dZ2FI18HtRYhjldjxTbTfocZxRKBU\nHDMqud2MVyzlqfQ2GJiNYaFy8+f3E5tL8cuX57eRtdW2iMeP/n25fV784o+RtbVix3rtqnxkG7NE\n2+xQc1/B7126sRTP/kl8P8J9gwObqyvwP2+ekr19TKRQ9TZcDKtiaQ4AMBgMuP/++/GDH/wA27dv\nn3vd5XLBYjl3x2R2djZcLlfM39PYZsfU9My816amZzA26YEpXT/vtSNt9pi/R+y7jOk60TQ0tjmw\nJNeEqekZPPD59Whscwhud6TNgY4+p+g+6lZmwZiuW/DepNsz+/9TkyHScC7PYts0nXKgb8iJroFR\n6HRelORnCaZ1dh8ieTjpQHXZIky6PZiansEXrqoU3fZouwNFeZkL8vGxtTmin2lsc2BjecaC9Egp\nWTFcf3RAMM/1RwcEt4+krAO3vfkTK0Ic19jrxIHmfsF9/u/73THvMxrRHIdUlMz43XPvJjS2Oeb+\nFavDz9xXF/B39OUUrszFYvJAs3Bdiue7SHpyjyMm3efGEZGMIfz7sWSlo9fuEo2fqamJuff+6fbz\nQtaZYP7xTcvpM1hemIVn7qsL+fk9927CjMcdVR8wMz0VdvvGNjt++LVz9f2f/35+Okzp+rnxQPA+\njpx0oHKZZV5+Zma8MKXrYUrXY2zSg89dUR7VGMKSlY6xSQ9WlVol6e9ikaz4JZKK3G1wa9cIOvrO\nYGN5RkRtUqjzh0j2Ea94zsXC5yOyNB4JcV7c2jmSkO+IhFLGUHLHMMeM6qSU8kxm/C7JzUDTqflt\nZOgxpvCxGDrrwpGTkX8mVNu9KFsvup8TnSOi753sPvde3iITWrvEtw3dNzjwr/fVabZ9jJYqlubw\n++EPf4j77rsPn/3sZ/Hyyy8jKysLZrMZY2Njc9uMjY3Nq0hCcnKyYDAI32HZPSBc6ewjE8ixmtDv\nGJ97rWvAFdeyAULftbzIKpqG7gEXPvmxMjz/Zjs2rynCf/zllOB2XQMu5OcsvPPVv4/c3FwsL7Li\nyMn5J6X+PG5cXYTXDvWJft6f51Dp3LDShuMdI6gszsWq5bn46R9aFmyXYzWF3McNl1bi+TfaAABX\nXViJN57cL7rt+WuK8OLfTs3Lx/KiXHQPLPxe/2dyc3NhMiX+inkoyYjhzv5R0deF4jVUGQRv3z3g\nwj2fWR+yLGKtE8c6zwi+frR9GLYb1se0z2hEcxySTe7v90tU/ALiMdzZP4rc3Nm66/9XiL8OB/4d\n7XEKV+ZiMXm8cyTh36V1SsmjlG1wuL4xeBwRbgzh38/yIiu6B0OMC7aWATgBANiwuhC/erVNdNvg\ncYw/XT4fUFmS+9F2oevcxtWZEY0R/DZWL8Wr9b0ht+8ecKG44Fx9Ly+eX/dzrCbYRyZE9/HJrcvR\n1nNkLj/5izORYzXN/X3lBRvx1z2RjyGWF1lhH5nA569ajV//+VjEeZVaMtpgIUqpv8GUmi6AaRMj\n57lc94ALRWsKwo4t/G2S2Pv+sUe4fcQrknFDqG0i3UcoXSH6MwBhj1WiYk1JYyi5Y1jJbUu8tJo3\nJZVnoscRwMJy6x5w4aINJfjb4Z55r0fS9gZbvmQx6puEJ1TF5irEtl1fWQvgQ8H3VpYsFv3cytJz\n79WU56O91ym6bbg8Fs71H9ppH2P9DlVMRL/wwgsYGBjAV77yFWRmZiItLQ16/WzDXVFRgY6ODpw5\ncwZZWVk4dOgQ7rzzzpD7GxkZF32vuNCMzoGFE3m2nEw0BU3clhSaYbcLT/pFQui7Tvc5sa4yXzAN\nxYVmHG6dvRPv0NE+0bSWFJqRLtKxFReaMTw8jNN9CyuQP4/vHxPfd3FAnkNt0zM4u/+2bgcyDGmC\n2444p7CpukB0H38+cAq2nEx0Doziz/vbQn7fe0fPnRT783G6bzjkZ4aHh2EwLFzrVYoKm8wYLim0\nCOa5dIlFMF4jKevA18KVRax1YnXpYnQIxOWaFblx1bNISZGnRLDZhMst3GcSKdHxC4jHcEmhBcPD\nw3N1NFwdDvw72uMUrszFYnJVaU7Cv0vLoo1hNbbBgXmMdBwRbgzh38/pPidqKvJE4+dk17l9Hj42\nEDLWGloGBdNlzjKirWsYudmhY3V4eBjvHzsTVTw3tPSG3b640IzuwXP1/VT3/Lo/4pwKeQxee+/0\nvPyk63UYcU4BAGoq8rDvnZNRjSFaO0dQVZqDP74dW3+n5jY4WCx9UDIoNV2ANtKm9BiO5VyuuNCM\n8cnpsGMLf5sUbuwhdb8e77lYItJYEqI/W2Q2hT1WiaoH0X6HGscRgVJxzKjkdjNeWh5HCJVbcaEZ\nbx/uQnGhdV6+I2l7g7X3jUQ9VyG27Ycn+gXz4W8vxd4LXEeg6dQQVpXlhuwfQqVhIKD/kKt9TKRQ\n9TZcDKtiaY4rr7wSR48exec+9znceeedePDBB7Fv3z787ne/Q3p6Oh544AHceeeduPnmm3HDDTeg\nsLAw5u+qrbTNW4IDmP1JaHaGYd4t76Z0PdZVxvcgGKHvck97RdNQW5mH/uEpmNL1ePzXH6K2Mk9w\nu3WVeVheZBXdR/2JcbinvQveyzDOXpcwmTJCpOFcnsW2qSnPQ5HNipJCC7xePbod44Jpnd2HSB4q\n8tDScRYZRgNM6Xr88s9totuuWZGHPsfEgny82zwi+pnayjy8f2pyQXqkkswY3rK2UDDPdWuE9xlJ\nWQdu+5+vtYc4rrHXia1rlwju8+Mbi2PeZzSiOQ6pJtnxe8+PG1BbmTf3r1gd/vIT9QF/R19O4cpc\nLCa3ro0+f4wveSlhHJFhPDeOiGQM4d/P6Pg0ltksovGTkZE5997uX30Qss4E849vqpcvxumBcXz5\nifqQn7/nxw3QG4xR9QGGdFPY7Wsrbbj/X8/V9394an46pqZn5sYDwftYV5GHtp7RefnR63WYmp7B\n1PQMsjMM+M1fTkU1hhgdn0Z2hgHHO52S9HfRSmb8EklBCW1wVUkOyooW4/1TkxG1SaHOHyLZR7zi\nORcLn4/I0rguxHlxVWlOQr4jEkoYQykhhjlmVCcllGey47d/eBI15fPbyNBjTOFjYVtswbqKyD8T\nqu0+Oz4jup+VpTmi71WUnHvPcXYKVSXi24buG/LwtSfqNdk+xiLN5/P55E5EsoW7MhD81MkNlTYM\nj06ivdeJvqExLF9qxZoVeQl5EqXYEy6FntT87vvdyF6UiXUVNhw/bUemcQKlS889UX7uic4+oP60\nA5XLcnCsc2TBe9NpwIQXaD7lQNegC8UFZlizjBidcGNdRWRPDhVL/7qKPGSkzT6V+nDrENxeL9Lh\nhUmn++gJqfPTOjDsQt6ibBxtH573egaA+jYHegfHsHlNARxnJzHjdmHNyoX5Pd7pwMnu+fkoK7Si\nb9iFTcVZcOlMC49RwFOvg6nhZ0HhYripYwT1RwfQ2T+K0iUW1K0pRE1Zjuj20Txptb51CENjduRn\niz91Nladgy4caB7A8c4RrCrNwda1hdi0tihpV8iV+MRZJdwRLYVQeTrW44T3bC9chlyYPQ64DAtj\nzeyx4/cH4y+ncGUuFJOlBeJXzuP5Lq1Swh3RiRacn+A8Bpb18qVWVCxbhJbTw+i1RzeG8O+n3z6O\nizctw4nOEXQJxE/g9125xQyDIfhp3nkwe7rhMhTjaPsITvc6UZSfjbIiC2xWEzKhQ4vDjiPHXPjs\nFjNcgp93wKnLgwFAQW4W+s9MRhzPwk8Qn799fesQzB47XIY8HGlzoLhwAjmWc31+yZLZMcaRNkfA\nMchDW88IWk/P5qek0Azb4gw0nnSgq392m/WVNqQBGBi1w2YJbks+GkN0zZbTkrxs1Df1ozAvC8uX\nWpBjMaG934EVS6Lr79QYw2KUepeaUtMFaCNtSo/haM/l1qzIQ7Z+9vwEiLxNWtAOBpw/RLKPeMVy\nLubfxl/W8Y496luHcLTdMddvLC+yosCagfNCHqvEj2+i+Q6lxy8QfQxrfcyo5HYzEaItT7XEsFi5\n1bcOoaXDjtUleThy6lwbeUGl7aM5ociPRXPrEMaiaGuFjrUZwOkw8xehyijwvfJiM1aXBY+Tz20r\n3DfkYdrTjZbTmbK3j4kUzx3RnIgW4D+gVqsRTue5p0BarUYAmPdaogR/l9DrQukJfG983AOPxzsv\nrcFMJhOmpqbmPpeRYcDkpEf0+0OlLXib6WkfJiamBd8T4nS6F7znck3DbE7H5OQMMjL0c9sJ7cfn\nA9LS5ucreP9CnwuXF7U0/JEwGHRzMRGJSMo6eNtoPhMpnS4NXu9s0yTHwESKPMUqFSei/Xn2x69Y\nrCWynMLtKzAmE/VdWh90+6XiRLRfcD8NxDaGCDUWENsu1OcC+0X/azabZd74IPAzmZnpAICpKc+C\nehBtvxH4naHyELitWNqDmUymufGb0PcEfjZwDBGNSPKqxhgWo9R2SqnpArSRNqXHcDTncoB4vY20\nTYp3H/GK9FwscJvgso53zBRN+y2lSL5D6fELqL8NTjTmc+F2ShdqItov1HxBtO1FtG1tqO+Mde4r\nXDsbKr1KaR8TKZ6JaFWsES2X4EKUslDF9h34eqj0RJpWm800773JSU/I7cO9F8k20b7nf83tngm7\nrV9wviL9nNZFMwkNRHes/NtKcXwTNeEXq1SOGSXxx69YrCWynMLtK5ExyfhKHaH6aSn2E+k4IdL+\n0v+30EXmSNITy7ZC9T3S/NtsppDbsO4RpZZwdT7ec5xI9xEvJaQzEWlIBLbjROoRar4g2rqciO0j\nmb+Id15MbFu2j/OpYo1oIiIiIiIiIiIiIlIvTkQTERERERERERERkaQ4EU1EREREREREREREkuJE\nNBERERERERERERFJihPRRERERERERERERCQpTkQTERERERERERERkaQ4EU1EREREREREREREkuJE\nNBERERERERERERFJihPRRERERERERERERCQpTkQTERERERERERERkaQ4EU1EREREREREREREkjLI\nnYBITE9P48EHH0RPTw/cbje++tWv4hOf+MTc+3v37sVzzz2H3NxcAMD3v/99lJeXy5VconkYv6R2\njGFSO8YwqRnjl9SOMUxqxxgmNWP8ktKoYiL6xRdfxOLFi/Ev//IvGBkZwd/93d/NqzjNzc344Q9/\niJqaGhlTSSSM8UtqxxgmtWMMk5oxfkntGMOkdoxhUjPGLymNKiair7rqKmzfvn3ub71eP+/95uZm\nPPPMM7Db7bjkkkvwla98JdlJJBLF+CW1YwyT2jGGSc0Yv6R2jGFSO8YwqRnjlxTHpyKjo6O+z3/+\n874XX3xx3ut79uzxORwO39TUlO+uu+7yvf766yH3Mz3tkTKZRIISFb8+H2OY5MEYJrXjOILUjG0w\nqR3bYFI7xjCpGccRpBRpPp/PJ/dkeCT6+vrwta99DbfeeituvPHGudd9Ph9cLhcsFgsA4De/+Q3O\nnDmDr33ta6L7sttHQ36XzWYJu41aaTVvicyXzWZJyH4CJTJ+gfAxrCVajdlIxZJ/tcdwqpQ58ym+\nvRSkHEdooSyZh8SmI9HkGkco5ZgGU2q6AG2kTekxnMrncpFK5WOgxnGEmFQpR+Zz4XaJJsU4IlXK\nTQzzL57/cDGskyJBiTY0NIQ77rgD3/nOd+ZVGgBwuVy49tprMTY2Bp/Ph4MHD3JtG1IUxi+pHWOY\n1I4xTGrG+CW1YwyT2jGGSc0Yv6Q0qlgj+ic/+QmcTieeeuopPPXUUwCAz3zmM5iYmMBNN92Eb33r\nW7j99tthNBqxdetWfPzjH5c5xUTnMH5J7RjDpHaMYVIzxi+pHWOY1I4xTGrG+CWlUc3SHImUyj/n\n0mrelL40R6JpsQzFaDVmI6WUpTkSjUtzMJ+htlc6Ls2hTErJgxpjWIxSjmkwpaYL0EbalB7DqXwu\nF6lUPgZKj19A/W1wojGfC7dTOi7NkTpxK0bzS3MQERERERERERERkXpxIpqIiIiIiIiIiIiIJMWJ\naCIiIiIiIiIiIiKSFCeiiYiIiIiIiIiIiEhSnIgmIiIiIiIiIiIiIklxIpqIiIiIiIiIiIiIJMWJ\naCIiIiIiIiIiIiKSFCeiiYiIiIiIiIiIiEhSnIgmIiIiIiIiIiIiIklxIpqIiIiIiIiIiIiIJMWJ\naCIiIiIiIiIiIiKSFCeiiYiIiIiIiIiIiEhSnIiWgdVqnPsv0u0D/02GSNIXTR6CPxfqtcDjo9Ol\nib4XnAah9ARun8zjlwrkiEtKbVLGGuOYlCRcn6WEfi3aMYxU3yXUF0Xy/8GfFTueHEcQqVek5zOR\n7CeezyuBWtJJRNoRar5ArE2Ktq2KZnupx6RSf7eWGOROQCSmp6fx4IMPoqenB263G1/9/+zde3yc\nZYH3/2+SyaRtJmmbZBrahvSUBtrUCKUWKxSW05Z9amVXUA4+ZRfY1fUnHnB1BVehKyyUfcR97Qtd\nXspqfR5+u6yKolTcn7uKPpVjpFhC00IaWlpC23SStCSTtmmSmd8fJSGHOc99uO57Pu/Xy5dk5p77\nvg7f67qvuTqZfPKTuuyyy8aef+qpp/Stb31LgUBAV199tT760Y+6WNrk/tDerTLFFJXU2tGjzq6o\n6mpDam4Ia3VjzZTjW9q71doRGXdctfYf6dGCOYmPt8Lkay5fVK3pJcU6d9z1Wtu7dVKxjOqQuj5h\nhSQ92xHRBxaeUDRQp1de71HF9KD6jp9SZ1dUZ9aG9J6GaoUk9cWknXt7dKT7hP7ofXXata9nQtvs\n3NujA4eiOvOMkN6zJDx2rcXzK1Uza7pe3HVE8+aUZ1RWK/klv6Na2ru1c29E9XMq9cbhvqwyAG9y\nO8OJ5g6rsmbnuWEOtzOcqV3t3YqmuL9OvUdXqaykSGUq1gqHcpvpmLFibKU6R0t7t17piKhm1gnN\nrZm6fhhdG4SGOxUN1I216YJ5ITUtCk9ZX42uIepqQzq3IayYpJdZRwCWcDrDv3pmn07EYtq5N/l7\nlUzmqHRzkBfWD14pp+mczjD95i9u9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3FiSh28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\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Pev3KSgQbq8tZ7W2oNqO2gv3mU03s76plHZv9XTWs5YX68dtHP+Dxnz0rLfNtoG9rteX9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\naNCtYtJ9HRdGuO7D3Bgc4b7/aHKUpGljzYbIKve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BzNF7vr82Kekyp/JSMuoNgi9aRbw+TbzKPvshUdLQbIAKiUuXB71rFx7Xep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\nS9So1BXwema32YZltxc/ee0irsw4sbDkQf+oHZ+7cxsK8uWQQ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5Mn7amUDLtqt3fLanxY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      "text/plain": [
       "<matplotlib.figure.Figure at 0x254a1860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set()\n",
    "cols=['C14','C15','C16','C17','C18','C19','C20','C21']\n",
    "sns.pairplot(train_df[cols],size=2.5)\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 以上是C14-C21的分布图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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UQ8UC8i677JLTTz89J598cn7/+9/njDPOyIABA9pe79evX55//vk0NzensbGxbXh9ff3b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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x262715f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl.figure(figsize=(16,8))\n",
    "sns.countplot(x='C14',hue='click',data=train_df)\n",
    "pl.xlabel('C14 type')\n",
    "pl.ylabel(\"number of C14\")\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GCAYAAKA0RDAAAAClIYIBAAAoDREMAABAaYhgAAAASkMEAwAAUBoiGAAAgNIQ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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x22362e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl.figure(figsize=(16,8))\n",
    "sns.countplot(x='C15',hue='click',data=train_df)\n",
    "pl.xlabel('C15 type')\n",
    "pl.ylabel(\"number of C15\")\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AAEpDBAMAAFAaIhgAAIDSEMEAAACUhggGAACgNEQwAAAApSGCAQAAKA0RDAAA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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x27304b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl.figure(figsize=(16,8))\n",
    "sns.countplot(x='C16',hue='click',data=train_df)\n",
    "pl.xlabel('C16 type')\n",
    "pl.ylabel(\"number of C16\")\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0NTWlubm5+j/lcjmNjY1LTWtubk6XLl2yYMGC97R9v4CcJHPnvr0qVwmooTlz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\nlGdIliRJkiQpz5AsSZIkSVLeH20pSvbdD7mMAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x21d33f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl.figure(figsize=(16,8))\n",
    "sns.countplot(x='C17',hue='click',data=train_df)\n",
    "pl.xlabel('C17 type')\n",
    "pl.ylabel(\"number of C17\")\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CXQAAAApDBAMAAFAYIhgAAIDCEMEAAAAUhggGAACgMEQwAAAAhSGCAQAAKAwRDAAAQGGI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\nAAAKQwQDAABQGCIYAACAwvj/gPzA0miHjeUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x21d24d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl.figure(figsize=(16,8))\n",
    "sns.countplot(x='C18',hue='click',data=train_df)\n",
    "pl.xlabel('C18 type')\n",
    "pl.ylabel(\"number of C18\")\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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IBgAAoDSEYAAAAEpDCAYAAKA0hGAAAABKQwgGAACgNIRgAAAASqO6M4pu27YtkyZNyqpV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\nvycuZSe+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x222933c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl.figure(figsize=(16,8))\n",
    "sns.countplot(x='C19',hue='click',data=train_df)\n",
    "pl.xlabel('C19 type')\n",
    "pl.ylabel(\"number of C19\")\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ksbw7qxM2ANpbRzix+mfm0BHmuzJ4kQw6HufmHdvHIp7/8Ic/pKmpKddff32m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\naDQajUaj0Wg0Gs3P8L8AnJ1BQzWAWtIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x25a14b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl.figure(figsize=(16,8))\n",
    "sns.countplot(x='C20',hue='click',data=train_df)\n",
    "pl.xlabel('C20 type')\n",
    "pl.ylabel(\"number of C20\")\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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06Erwa6677rqcffbZSZL3ve99+dCHPpS99torU6dOzS233JKGhobU19e3jK+t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\n3jlHHnlkPvvZz7arxrp16zJ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tZz2zkPb2dt68eYPD4aC1tXXEjpnfv39Pf3+/ZyK24Rgq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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2511e9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl.figure(figsize=(16,8))\n",
    "sns.countplot(x='C21',hue='click',data=train_df)\n",
    "pl.xlabel('C21 type')\n",
    "pl.ylabel(\"number of C21\")\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 以上就是对C14-C21与广告是否被点击的全部数据分析图了；在这些图中我们可以看到 在某些类别中广告的确被点击的数量比较多 所以我们在进行特征工程的时候可以整合一些特征减少特征的维度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
